[ { "key": "4IWD7T4Z", "version": 58, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/4IWD7T4Z", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/4IWD7T4Z", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Newsham et al.", "parsedDate": "2011-01-01", "numChildren": 0 }, "data": { "key": "4IWD7T4Z", "version": 58, "itemType": "journalArticle", "title": "THE EFFECT OF HOUSEHOLD CHARACTERISTICS ON TOTAL AND PEAK ELECTRICITY USE IN SUMMER", "creators": [ { "creatorType": "author", "firstName": "Guy", "lastName": "Newsham" }, { "creatorType": "author", "firstName": "Benjamin", "lastName": "Birt" }, { "creatorType": "author", "firstName": "Ian", "lastName": "Rowlands" } ], "abstractNote": "We analyzed hourly electricity use data from households in southern Ontario, Canada (N=284) for which we also had survey data on some household characteristics. Dependent variables were total annual electricity use, summer use, summer use during on-peak hours defined by the local time-of-use tariff, use during the 1% of highest systemwide demand hours in summer, and the correlation between household demand and systemwide demand during summer on-peak hours. Results show, as expected, that larger houses with more occupants tend to use more electricity during all periods. However, in the very highest demand periods in the summer, ownership of a central air conditioner is the most important predictor of energy use. This suggests that utilities wishing to reduce systemwide peak usage should focus their summer demand reduction programs on houses with central air conditioners. The impending roll-out of advanced metering infrastructure in North America will facilitate this kind of analysis in many other jurisdictions in the future.", "publicationTitle": "Energy Studies Review", "publisher": "", "place": "", "date": "2011-01-01", "volume": "18", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "http://digitalcommons.mcmaster.ca/esr/vol18/iss1/2", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-07T16:49:31Z", "dateModified": "2014-03-07T16:49:50Z" } }, { "key": "6EEN29SE", "version": 56, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/6EEN29SE", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/6EEN29SE", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Yin et al.", "parsedDate": "2013-10", "numChildren": 0 }, "data": { "key": "6EEN29SE", "version": 56, "itemType": "journalArticle", "title": "An analysis of the influence of urban form on energy consumption by individual consumption behaviors from a microeconomic viewpoint", "creators": [ { "creatorType": "author", "firstName": "Yanhong", "lastName": "Yin" }, { "creatorType": "author", "firstName": "Shoshi", "lastName": "Mizokami" }, { "creatorType": "author", "firstName": "Takuya", "lastName": "Maruyama" } ], "abstractNote": "Using 1997 personal trip survey (PTS) data in the Kumamoto metropolitan area, this paper examined the influence of urban form on energy consumption through an energy estimation model from a microeconomic perspective. As all goods and service are assumed to satisfy the need of people, we estimated the individual energy consumption based on the demand of goods, which is explained by a utility maximization problem constrained by income. 52.84 GJ of energy is estimated for one person one year in Kumamoto metropolitan area. 19.57% of energy is used for mobility goods. A spatial regression was performed to analyze the relationship between energy efficiency and urban form characteristics in terms of density, diversity, and accessibility. The results of regression analysis show that employment density, ratio of employee in retail department, transit fare, and distance to city center are the most influential factors of energy efficiency. Findings suggest compact development and integrated policies for increasing employment density, especially, employment proportion of local residents are suggested. Moreover, measures to improve the attractiveness of mass transit should be encouraged to increase energy efficiency in Kumamoto.", "publicationTitle": "Energy Policy", "publisher": "", "place": "", "date": "October 2013", "volume": "61", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "909-919", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy Policy", "DOI": "10.1016/j.enpol.2013.06.054", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0301421513005399", "accessDate": "2014-03-07T16:47:22Z", "PMID": "", "PMCID": "", "ISSN": "0301-4215", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Compact development", "type": 1 }, { "tag": "Individual energy consumption", "type": 1 }, { "tag": "Urban form", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-07T16:47:22Z", "dateModified": "2014-03-07T16:47:22Z" } }, { "key": "S3FD9HK3", "version": 55, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/S3FD9HK3", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/S3FD9HK3", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Garau et al.", "parsedDate": "2013-09", "numChildren": 0 }, "data": { "key": "S3FD9HK3", "version": 55, "itemType": "journalArticle", "title": "The impact of population ageing on energy use: Evidence from Italy", "creators": [ { "creatorType": "author", "firstName": "Giorgio", "lastName": "Garau" }, { "creatorType": "author", "firstName": "Patrizio", "lastName": "Lecca" }, { "creatorType": "author", "firstName": "Giovanni", "lastName": "Mandras" } ], "abstractNote": "In this study we evaluate the impact of demographic change on energy use. The results are obtained from calibrated overlapping generations general equilibrium model for Italy. Contrary to studies based on partial equilibrium regression models, or fixed price models that are unable to account for supply side effects, we found that a pronounced ageing population leads to a reduction in energy use, although in principle, the increase in the share of old people produces a shift in consumption towards a more energy intensive mix of goods and services.", "publicationTitle": "Economic Modelling", "publisher": "", "place": "", "date": "September 2013", "volume": "35", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "970-980", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Economic Modelling", "DOI": "10.1016/j.econmod.2013.09.006", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0264999313003659", "accessDate": "2014-03-07T16:43:40Z", "PMID": "", "PMCID": "", "ISSN": "0264-9993", "archive": "", "archiveLocation": "", "shortTitle": "The impact of population ageing on energy use", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Overlapping generations model", "type": 1 }, { "tag": "Population ageing", "type": 1 }, { "tag": "energy", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-07T16:43:40Z", "dateModified": "2014-03-07T16:43:40Z" } }, { "key": "G3IEZSXI", "version": 54, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/G3IEZSXI", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/G3IEZSXI", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Brounen et al.", "parsedDate": "2013-07", "numChildren": 0 }, "data": { "key": "G3IEZSXI", "version": 54, "itemType": "journalArticle", "title": "Energy literacy, awareness, and conservation behavior of residential households", "creators": [ { "creatorType": "author", "firstName": "Dirk", "lastName": "Brounen" }, { "creatorType": "author", "firstName": "Nils", "lastName": "Kok" }, { "creatorType": "author", "firstName": "John M.", "lastName": "Quigley" } ], "abstractNote": "The residential sector accounts for one-fifth of global energy consumption, resulting from the requirements to heat, cool, and light residential dwellings. It is therefore not surprising that energy efficiency in the residential market has gained importance in recent years. In this paper, we examine awareness, literacy and behavior of households with respect to their residential energy expenditures. Using a detailed survey of 1721 Dutch households, we measure the extent to which consumers are aware of their energy consumption and whether they have taken measures to reduce their energy costs. Our results show that “energy literacy” and awareness among respondents is low: just 56% of the respondents are aware of their monthly charges for energy consumption, and 40% do not appropriately evaluate investment decisions in energy efficient equipment. We document that demographics and consumer attitudes towards energy conservation, but not energy literacy and awareness, have direct effects on behavior regarding heating and cooling of the home. The impact of a moderating factor, measured by thermostat settings, ultimately results in strong variation in the energy consumption of private consumers.", "publicationTitle": "Energy Economics", "publisher": "", "place": "", "date": "July 2013", "volume": "38", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "42-50", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy Economics", "DOI": "10.1016/j.eneco.2013.02.008", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0140988313000327", "accessDate": "2014-03-07T16:42:41Z", "PMID": "", "PMCID": "", "ISSN": "0140-9883", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Consumer behavior", "type": 1 }, { "tag": "Energy efficiency", "type": 1 }, { "tag": "Financial literacy", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-07T16:42:41Z", "dateModified": "2014-03-07T16:42:41Z" } }, { "key": "FNZAKAQ4", "version": 53, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/FNZAKAQ4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/FNZAKAQ4", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Wilhite et al.", "parsedDate": "1996-09", "numChildren": 0 }, "data": { "key": "FNZAKAQ4", "version": 53, "itemType": "journalArticle", "title": "A cross-cultural analysis of household energy use behaviour in Japan and Norway", "creators": [ { "creatorType": "author", "firstName": "Harold", "lastName": "Wilhite" }, { "creatorType": "author", "firstName": "Hidetoshi", "lastName": "Nakagami" }, { "creatorType": "author", "firstName": "Takashi", "lastName": "Masuda" }, { "creatorType": "author", "firstName": "Yukiko", "lastName": "Yamaga" }, { "creatorType": "author", "firstName": "Hiroshi", "lastName": "Haneda" } ], "abstractNote": "In this paper we compare and contrast the results of ethnographic investigations of energy use behaviour in Fukuoka, Japan and Oslo, Norway. These studies show significant differences in end use patterns for space heating, lighting and hot water use. We discuss how these patterns are related to cultural and economic factors. Our findings show that while energy intensive space heating and lighting habits have become an integral part of the presentation of the Norwegian home, Japanese space heat and light habits are more disciplined and less culturally significant. In Japan, the bathing routine is extremely important to the Japanese lifestyle and at the same time very energy intensive. Other energy intensive patterns are identified which do not have the same cultural significance, such as lax temperature setback in Norway and dish washing practices in Japan. The policy implications of these findings are discussed.", "publicationTitle": "Energy Policy", "publisher": "", "place": "", "date": "September 1996", "volume": "24", "issue": "9", "section": "", "partNumber": "", "partTitle": "", "pages": "795-803", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy Policy", "DOI": "10.1016/0301-4215(96)00061-4", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/0301421596000614", "accessDate": "2014-03-07T16:41:46Z", "PMID": "", "PMCID": "", "ISSN": "0301-4215", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Culture", "type": 1 }, { "tag": "Energy use behaviour", "type": 1 }, { "tag": "Household", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-07T16:41:46Z", "dateModified": "2014-03-07T16:41:46Z" } }, { "key": "FSENWHZ5", "version": 52, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/FSENWHZ5", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/FSENWHZ5", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Schipper et al.", "parsedDate": "1989", "numChildren": 0 }, "data": { "key": "FSENWHZ5", "version": 52, "itemType": "journalArticle", "title": "Linking Life-Styles and Energy Use: A Matter of Time?", "creators": [ { "creatorType": "author", "firstName": "L", "lastName": "Schipper" }, { "creatorType": "author", "firstName": "S", "lastName": "Bartlett" }, { "creatorType": "author", "firstName": "D", "lastName": "Hawk" }, { "creatorType": "author", "firstName": "E", "lastName": "Vine" } ], "abstractNote": "Our central thesis in this paper is that changes in the patterns of consumers' activities, which we call their life-styles, can lead to substantial changes in energy use, particularly in the very long run, even with little change in energy prices or incomes. While we focus on the United States, we illustrate some points using examples from other countries, particularly where these countries differ significantly. While individuals may make conscious decisions to save energy by either changing the amount of heating or driving they demand, or by changing the efficiency with which energy is used for these tasks, we focus on changes in an individual's or household's activities that are not motivated per se by a desire to save energy. Finally, we study observed behavior, and do not focus on values and attitudes that motivate people.", "publicationTitle": "Annual Review of Energy", "publisher": "", "place": "", "date": "1989", "volume": "14", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "273-320", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1146/annurev.eg.14.110189.001421", "citationKey": "", "url": "http://www.annualreviews.org/doi/abs/10.1146/annurev.eg.14.110189.001421", "accessDate": "2014-03-07T16:40:59Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Linking Life-Styles and Energy Use", "language": "", "libraryCatalog": "Annual Reviews", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-07T16:40:59Z", "dateModified": "2014-03-07T16:41:21Z" } }, { "key": "9B55NI4G", "version": 48, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/9B55NI4G", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/9B55NI4G", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Rehdanz", "parsedDate": "2007-03", "numChildren": 0 }, "data": { "key": "9B55NI4G", "version": 48, "itemType": "journalArticle", "title": "Determinants of residential space heating expenditures in Germany", "creators": [ { "creatorType": "author", "firstName": "Katrin", "lastName": "Rehdanz" } ], "abstractNote": "We first examine the determinants of household expenditures on space heating and hot water supply in Germany. A number of socio-economic characteristics of households are included along with building characteristics. Our analysis covers information on more than 12,000 households in Germany for the years 1998 and 2003.\nThe analysis continues by investigating whether different kinds of households are affected differently by increases in energy prices. Households in owner-occupied properties are less affected compared to those in rented accommodation, this could be because owners are more likely to have installed energy-efficient heating and hot water supply systems and landlords have less of an incentive to improve the conditions of their rented accommodations. An energy policy targeting especially the latter group might benefit not only households in rented accommodation, but might also increase energy-efficiency and reduce greenhouse gas emissions as well.", "publicationTitle": "Energy Economics", "publisher": "", "place": "", "date": "March 2007", "volume": "29", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "167-182", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy Economics", "DOI": "10.1016/j.eneco.2006.04.002", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0140988306000405", "accessDate": "2014-03-07T16:38:09Z", "PMID": "", "PMCID": "", "ISSN": "0140-9883", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Energy-efficiency", "type": 1 }, { "tag": "Germany", "type": 1 }, { "tag": "Heating expenditures", "type": 1 }, { "tag": "Income elasticity", "type": 1 }, { "tag": "Price elasticity", "type": 1 }, { "tag": "Space heating", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-07T16:38:09Z", "dateModified": "2014-03-07T16:38:09Z" } }, { "key": "PI4QVWVQ", "version": 47, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/PI4QVWVQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/PI4QVWVQ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "PI4QVWVQ", "version": 47, "itemType": "webpage", "title": "Demographic determinants of household energy use in the United States", "creators": [], "abstractNote": "SITE SEARCH\n PUBLICATIONS SEARCH\n STAFF SEARCH\n EVENT SEARCH\n\nDemographic determinants of household energy use in the United States\nDemographic determinants of household energy use in the United States\n\nAuthors: O'Neill BC, Chen BS\n\nPublication Year: 2002\n\nReference: In Population and Environment: Methods of Analysis, W. Lutz, A. Prskawetz, and W.C. Sanderson (eds)\nPopulation Council, New York, NY, USA pp.53-88 (2002)\n\nwww.jstor.org/stable/3115268. Supplement to Population and Development Review 28/2002\nAbstract\nProjections of energy demand over the coming decades are critically important to understanding and anticipating future resource requirements and environmental impacts such as acid rain, local air pollution, and climate change (e.g., Nakicenovic et al. 2000). Household consumption of energy for space heating and cooling, lighting, appliances, transportation, and other energy services is a key driver of national energy demand. A number of demographic factors such as population size, age structure, and levels of urbanization have potentially important direct and indirect influences on household demand. For example, aging may have direct consequences since energy consumption tends to change over the lifespan (Yamasaki and Tominaga 1997); aging could also have indirect impacts through an associated decline in household size and consequently a loss of economies of scale in energy use at the household level. However, the treatment of population-related variables in energy projections has been essentially limited to considerations of changes in population size alone (O'Neill, MacKellar, and Lutz 2001; Gaffin 1998), even though significant changes in other factors, especially age structure, are anticipated in all regions of the world.\nImprovements to the development of credible projections of energy demand through a better understanding of demographic determinants of energy use would be valuable for several reasons. First, they would clarify the outlook for the potential range of projected environmental consequences of energy-related emissions. Second, they would allow better estimates of the costs of reducing emissions, which are sensitive to baseline emissions projections. Cost estimates play a key role in the current debate over appropriate climate change policy. And third, understanding energy demand across different demographic groups can help assess the potential distributional effects of emissions-reduction efforts.", "websiteTitle": "", "websiteType": "", "date": "", "publisher": "", "place": "", "DOI": "", "citationKey": "", "url": "http://www.iiasa.ac.at/publication/more_XC-02-031.php", "accessDate": "2014-03-07T16:37:26Z", "shortTitle": "", "language": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-07T16:37:26Z", "dateModified": "2014-03-07T16:37:47Z" } }, { "key": "GZ5WZVUS", "version": 44, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/GZ5WZVUS", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/GZ5WZVUS", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Lutzenhiser", "parsedDate": "1993", "numChildren": 0 }, "data": { "key": "GZ5WZVUS", "version": 44, "itemType": "journalArticle", "title": "Social and Behavioral Aspects of Energy use", "creators": [ { "creatorType": "author", "firstName": "Loren", "lastName": "Lutzenhiser" } ], "abstractNote": "", "publicationTitle": "Annual Review of Energy and the Environment", "publisher": "", "place": "", "date": "1993", "volume": "18", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "247-289", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1146/annurev.eg.18.110193.001335", "citationKey": "", "url": "http://www.annualreviews.org/doi/abs/10.1146/annurev.eg.18.110193.001335", "accessDate": "2014-03-07T16:34:45Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Annual Reviews", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "energy and society", "type": 1 }, { "tag": "energy demand", "type": 1 }, { "tag": "energy in organizations", "type": 1 }, { "tag": "household energy consumption", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-07T16:34:45Z", "dateModified": "2014-03-07T16:34:45Z" } }, { "key": "3UT6SJT3", "version": 43, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/3UT6SJT3", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/3UT6SJT3", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Lakshmanan and Anderson", "parsedDate": "1980-08", "numChildren": 0 }, "data": { "key": "3UT6SJT3", "version": 43, "itemType": "journalArticle", "title": "Residential energy demand in the United States: A regional econometric analysis", "creators": [ { "creatorType": "author", "firstName": "T. R.", "lastName": "Lakshmanan" }, { "creatorType": "author", "firstName": "William", "lastName": "Anderson" } ], "abstractNote": "A static equilibrium and a dynamic partial adjustment model of residential demand for electricity and natural gas are presented and estimated for the United States over a recent period characterized by sharply increasing energy prices. The static model is estimated using Ordinary Least Squares while the instrumental variables method is used for the dynamic partial adjustment model. The estimates of long-run elasticities suggest the residential demand for electricity and natural gas are price and income elastic. Intercept and slope dummies used in the models identify significant regional differences in demand functions.", "publicationTitle": "Regional Science and Urban Economics", "publisher": "", "place": "", "date": "August 1980", "volume": "10", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "371-386", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Regional Science and Urban Economics", "DOI": "10.1016/0166-0462(80)90038-1", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/0166046280900381", "accessDate": "2014-03-06T23:58:55Z", "PMID": "", "PMCID": "", "ISSN": "0166-0462", "archive": "", "archiveLocation": "", "shortTitle": "Residential energy demand in the United States", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:58:55Z", "dateModified": "2014-03-06T23:58:55Z" } }, { "key": "G4AARUIW", "version": 42, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/G4AARUIW", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/G4AARUIW", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Fritzsche", "parsedDate": "1981", "numChildren": 0 }, "data": { "key": "G4AARUIW", "version": 42, "itemType": "journalArticle", "title": "An Analysis of Energy Consumption Patterns by Stage of Family Life Cycle", "creators": [ { "creatorType": "author", "firstName": "David J.", "lastName": "Fritzsche" } ], "abstractNote": "", "publicationTitle": "Journal of Marketing Research", "publisher": "", "place": "", "date": "05/1981", "volume": "18", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "227", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.2307/3150956", "citationKey": "", "url": "http://www.jstor.org/discover/10.2307/3150956?uid=3739568&uid=2&uid=4&uid=3739256&sid=21103677203063", "accessDate": "2014-03-06T23:52:06Z", "PMID": "", "PMCID": "", "ISSN": "00222437", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:52:06Z", "dateModified": "2014-03-06T23:52:06Z" } }, { "key": "Q7JPACKN", "version": 41, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/Q7JPACKN", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/Q7JPACKN", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Armstrong et al.", "parsedDate": "2009", "numChildren": 0 }, "data": { "key": "Q7JPACKN", "version": 41, "itemType": "journalArticle", "title": "Synthetically derived profiles for representing occupant-driven electric loads in Canadian housing", "creators": [ { "creatorType": "author", "firstName": "Marianne M.", "lastName": "Armstrong" }, { "creatorType": "author", "firstName": "Mike C.", "lastName": "Swinton" }, { "creatorType": "author", "firstName": "Hajo", "lastName": "Ribberink" }, { "creatorType": "author", "firstName": "Ian", "lastName": "Beausoleil-Morrison" }, { "creatorType": "author", "firstName": "Jocelyn", "lastName": "Millette" } ], "abstractNote": "As one objective of the International Energy Agency's Energy Conservation in Buildings and Community Systems Programme Annex 42, detailed Canadian household electrical demand profiles were created using a bottom-up approach from available inputs, including a detailed appliance set, annual consumption targets and occupancy patterns. These profiles were created for use in the simulation of residential cogeneration devices to examine the issues of system performance, efficiency and emission reduction potential. This article describes the steps taken to generate these 5-min electrical consumption profiles for three target single-family detached households – low, medium and high consumers, a comparison of the generated output with measured data from Hydro Québec, and a demonstration of the use of the new profiles in building performance simulations of residential cogeneration devices.", "publicationTitle": "Journal of Building Performance Simulation", "publisher": "", "place": "", "date": "2009", "volume": "2", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "15-30", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1080/19401490802706653", "citationKey": "", "url": "http://www.tandfonline.com/doi/abs/10.1080/19401490802706653", "accessDate": "2014-03-06T23:41:23Z", "PMID": "", "PMCID": "", "ISSN": "1940-1493", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Taylor and Francis+NEJM", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:41:23Z", "dateModified": "2014-03-06T23:41:23Z" } }, { "key": "8E58ZPEN", "version": 40, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/8E58ZPEN", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/8E58ZPEN", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Yao and Steemers", "parsedDate": "2005-06", "numChildren": 0 }, "data": { "key": "8E58ZPEN", "version": 40, "itemType": "journalArticle", "title": "A method of formulating energy load profile for domestic buildings in the UK", "creators": [ { "creatorType": "author", "firstName": "Runming", "lastName": "Yao" }, { "creatorType": "author", "firstName": "Koen", "lastName": "Steemers" } ], "abstractNote": "There are varieties of physical and behavioral factors to determine energy demand load profile. The attainment of the optimum mix of measures and renewable energy system deployment requires a simple method suitable for using at the early design stage. A simple method of formulating load profile (SMLP) for UK domestic buildings has been presented in this paper. Domestic space heating load profile for different types of houses have been produced using thermal dynamic model which has been developed using thermal resistant network method. The daily breakdown energy demand load profile of appliance, domestic hot water and space heating can be predicted using this method. The method can produce daily load profile from individual house to urban community. It is suitable to be used at Renewable energy system strategic design stage.", "publicationTitle": "Energy and Buildings", "publisher": "", "place": "", "date": "June 2005", "volume": "37", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "663-671", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy and Buildings", "DOI": "10.1016/j.enbuild.2004.09.007", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S037877880400307X", "accessDate": "2014-03-06T23:40:12Z", "PMID": "", "PMCID": "", "ISSN": "0378-7788", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Appliance", "type": 1 }, { "tag": "Domestic building", "type": 1 }, { "tag": "Energy-consumption", "type": 1 }, { "tag": "Load profiles", "type": 1 }, { "tag": "Renewable energy (RE)", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:40:12Z", "dateModified": "2014-03-06T23:40:12Z" } }, { "key": "E5VJKIJ7", "version": 39, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/E5VJKIJ7", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/E5VJKIJ7", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Aydinalp-Koksal and Ugursal", "parsedDate": "2008-04", "numChildren": 0 }, "data": { "key": "E5VJKIJ7", "version": 39, "itemType": "journalArticle", "title": "Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector", "creators": [ { "creatorType": "author", "firstName": "Merih", "lastName": "Aydinalp-Koksal" }, { "creatorType": "author", "firstName": "V. Ismet", "lastName": "Ugursal" } ], "abstractNote": "This paper investigates the use of conditional demand analysis (CDA) method to model the residential end-use energy consumption at the national level. There are several studies where CDA was used to model energy consumption at the regional level; however the CDA method had not been used to model residential energy consumption at the national level. The prediction performance and the ability to characterize the residential end-use energy consumption of the CDA model are compared with those of a neural network (NN) and an engineering based model developed earlier. The comparison of the predictions of the models indicates that CDA is capable of accurately predicting the energy consumption in the residential sector as well as the other two models. The effects of socio-economic factors are estimated using the NN and the CDA models, where possible. Due to the limited number of variables the CDA model can accommodate, its capability to evaluate these effects is found to be lower than the NN model.", "publicationTitle": "Applied Energy", "publisher": "", "place": "", "date": "April 2008", "volume": "85", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "271-296", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Applied Energy", "DOI": "10.1016/j.apenergy.2006.09.012", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S030626190600136X", "accessDate": "2014-03-06T23:38:07Z", "PMID": "", "PMCID": "", "ISSN": "0306-2619", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Conditional demand analysis", "type": 1 }, { "tag": "Neural networks modeling", "type": 1 }, { "tag": "Residential energy consumption modeling", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:38:07Z", "dateModified": "2014-03-06T23:38:07Z" } }, { "key": "PWCHKDJT", "version": 38, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/PWCHKDJT", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/PWCHKDJT", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Steemers and Yun", "parsedDate": "2009", "numChildren": 0 }, "data": { "key": "PWCHKDJT", "version": 38, "itemType": "journalArticle", "title": "Household energy consumption: a study of the role of occupants", "creators": [ { "creatorType": "author", "firstName": "Koen", "lastName": "Steemers" }, { "creatorType": "author", "firstName": "Geun Young", "lastName": "Yun" } ], "abstractNote": "To what extent is energy performance determined by interactions between occupants, behaviour and buildings systems, as well as building and climate characteristics? The purpose of this paper is to establish which factors, and to what extent, affect the energy performance of a housing stock. The US residential sector is used to test the relative roles of socio-economic and behavioural aspects of occupants, as compared with climatic and physical building characteristics. Household heating and cooling energy consumption is investigated using an existing extensive survey, the Residential Energy Consumption Survey (RECS) by the US Department of Energy. This data set consists of information on actual energy consumption along with detailed energy-related characteristics of the housing units and their occupants. The paper presents a statistical analysis of the housing stock and assesses the relative roles of variables on energy use. Regression models and path analysis are used to determine the significance of parameters and their interrelationships. Results reveal that apart from climate, occupant behavioural aspects and socio-economic aspects are critical, partly directly and also significantly indirectly through their influence on choices and decisions about the physical characteristics of buildings and systems. Models are created for the analysis of heating and cooling energy that can be used to explore energy-related policies. Dans quelle mesure la performance énergétique est-elle déterminée par les interactions entre les occupants, le comportement et les systèmes des bâtiments, ainsi que par les caractéristiques de la construction et du climat? L'objet de cet article est de déterminer les facteurs qui ont une incidence sur la performance énergétique d'un parc de logements, et ce, dans quelle mesure. Le secteur résidentiel américain est utilisé pour tester les rôles respectifs des aspects socioéconomiques et comportementaux des occupants, par comparaison avec les caractéristiques climatiques et physiques des bâtiments. La consommation énergétique domestique utilisée pour chauffer et refroidir les logements est étudiée en utilisant une vaste enquête existante du Ministère de l'Energie américain, l'Enquête sur la Consommation d'Energie du Secteur Résidentiel (RECS). Ce jeu de données consiste en des informations portant sur la consommation réelle d’énergie, ainsi que sur les caractéristiques détaillées, liées à l’énergie, des unités d'habitation et de leurs occupants. L'article présente une analyse statistique du parc de logements et évalue les rôles respectifs des variables sur l'utilisation d’énergie. Des modèles de régression et une analyse des pistes causales sont utilisés afin de déterminer l'importance des paramètres et leurs interrelations. Les résultats révèlent que, le climat mis à part, les aspects comportementaux et les aspects socioéconomiques des occupants sont cruciaux, pour partie directement, mais également indirectement, de manière significative, par leur influence sur les choix et les décisions touchant aux caractéristiques physiques des bâtiments et des systèmes. Il est créé des modèles permettant d'analyser l’énergie servant au chauffage et au refroidissement, qui peuvent être utilisés afin d’étudier les politiques énergétiques pouvant être menées. Mots clés: comportement, parc bâti, consommation d’énergie, logement, habitant, résidentiel, États-Unis", "publicationTitle": "Building Research & Information", "publisher": "", "place": "", "date": "2009", "volume": "37", "issue": "5-6", "section": "", "partNumber": "", "partTitle": "", "pages": "625-637", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1080/09613210903186661", "citationKey": "", "url": "http://www.tandfonline.com/doi/abs/10.1080/09613210903186661", "accessDate": "2014-03-06T23:35:20Z", "PMID": "", "PMCID": "", "ISSN": "0961-3218", "archive": "", "archiveLocation": "", "shortTitle": "Household energy consumption", "language": "", "libraryCatalog": "Taylor and Francis+NEJM", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:35:20Z", "dateModified": "2014-03-06T23:35:20Z" } }, { "key": "P543HQMH", "version": 34, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/P543HQMH", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/P543HQMH", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "P543HQMH", "version": 34, "itemType": "webpage", "title": "2002 EIA Models Directory", "creators": [], "abstractNote": "The NEMS Residential Sector Demand Module is an integrated dynamic modeling system that projects residential energy demand by service, fuel, and Census Division. The modeling methodology is based on accounting principles and considers important issues related to consumer behavior. Housing and equipment stocks are tracked over the forecast period for ten major services. The major services considered are space heating, space cooling, clothes washing, dish washing, water heating, cooking, clothes drying, lighting, refrigeration, and freezers. A logit function is used to estimate market shares of each equipment technology within each major service based on either the installed capital and operating costs or the life-cycle cost. Miscellaneous appliance consumption is calculated as a function of Unit Energy Consumption (UEC), a measure of energy intensity developed from the Residential Energy Consumption Survey (RECS) data base.", "websiteTitle": "", "websiteType": "", "date": "", "publisher": "", "place": "", "DOI": "", "citationKey": "", "url": "http://www.eia.gov/bookshelf/models2002/rsdm.html", "accessDate": "2014-03-06T23:30:26Z", "shortTitle": "", "language": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:30:26Z", "dateModified": "2014-03-06T23:31:32Z" } }, { "key": "X8TTME6P", "version": 32, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/X8TTME6P", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/X8TTME6P", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Swan and Ugursal", "parsedDate": "2009-10", "numChildren": 0 }, "data": { "key": "X8TTME6P", "version": 32, "itemType": "journalArticle", "title": "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques", "creators": [ { "creatorType": "author", "firstName": "Lukas G.", "lastName": "Swan" }, { "creatorType": "author", "firstName": "V. Ismet", "lastName": "Ugursal" } ], "abstractNote": "There is a growing interest in reducing energy consumption and the associated greenhouse gas emissions in every sector of the economy. The residential sector is a substantial consumer of energy in every country, and therefore a focus for energy consumption efforts. Since the energy consumption characteristics of the residential sector are complex and inter-related, comprehensive models are needed to assess the technoeconomic impacts of adopting energy efficiency and renewable energy technologies suitable for residential applications.\nThe aim of this paper is to provide an up-to-date review of the various modeling techniques used for modeling residential sector energy consumption. Two distinct approaches are identified: top-down and bottom-up. The top-down approach treats the residential sector as an energy sink and is not concerned with individual end-uses. It utilizes historic aggregate energy values and regresses the energy consumption of the housing stock as a function of top-level variables such as macroeconomic indicators (e.g. gross domestic product, unemployment, and inflation), energy price, and general climate. The bottom-up approach extrapolates the estimated energy consumption of a representative set of individual houses to regional and national levels, and consists of two distinct methodologies: the statistical method and the engineering method.\nEach technique relies on different levels of input information, different calculation or simulation techniques, and provides results with different applicability. A critical review of each technique, focusing on the strengths, shortcomings and purposes, is provided along with a review of models reported in the literature.", "publicationTitle": "Renewable and Sustainable Energy Reviews", "publisher": "", "place": "", "date": "October 2009", "volume": "13", "issue": "8", "section": "", "partNumber": "", "partTitle": "", "pages": "1819-1835", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Renewable and Sustainable Energy Reviews", "DOI": "10.1016/j.rser.2008.09.033", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S1364032108001949", "accessDate": "2014-03-06T23:29:24Z", "PMID": "", "PMCID": "", "ISSN": "1364-0321", "archive": "", "archiveLocation": "", "shortTitle": "Modeling of end-use energy consumption in the residential sector", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Energy model", "type": 1 }, { "tag": "Housing energy model", "type": 1 }, { "tag": "Residential energy consumption", "type": 1 }, { "tag": "Residential energy model", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:29:24Z", "dateModified": "2014-03-06T23:29:24Z" } }, { "key": "G85JT5DG", "version": 31, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/G85JT5DG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/G85JT5DG", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "G85JT5DG", "version": 31, "itemType": "webpage", "title": "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption", "creators": [], "abstractNote": "Recent micro-simulation studies of the demand for electricity by residences have attempted to model jointly the demand for appliance and the demand for electricity by appliance. Within this context it becomes important to test the statistical exogeneity of appliance dummy variables typically included in demand for electricity equations. If, as the theory would suggest, the demand for durables and their use are related decisions by the consumer, specifications which ignore this fact will lead to biased and inconsistent estimates of price and income elasticities. The present paper attempts to test this bias using a subsample of the 1975 survey of 3249 households carried out by the Washington Center for Metropolitan Studies (WCMS) for the Federal Energy Administration. We discuss and derive a unified model of the demand for consumer durables and the derived demand for electricity. To determine the magnitude of the bias resulting from estimating a unit electricity consumption (UEC) equation by ordinary least squares when unobserved factors influence both choice of appliances and intensity of use, we introduce and estimate a joint water-heat space-heat choice model, and conclude with the consistent estimation and specification of demand for electricity equations.", "websiteTitle": "", "websiteType": "", "date": "", "publisher": "", "place": "", "DOI": "", "citationKey": "", "url": "https://www.econometricsociety.org/abstract.asp?ref=0012-9682&vid=52&iid=2&aid=0012-9682(198403)52:2%3C345:AEAORE%3E2.0.CO;2-Y&s=-9999", "accessDate": "2014-03-06T23:22:57Z", "shortTitle": "", "language": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:22:57Z", "dateModified": "2014-03-06T23:23:39Z" } }, { "key": "GIQMZHQW", "version": 29, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/GIQMZHQW", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/GIQMZHQW", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Bauwens et al.", "parsedDate": "1994", "numChildren": 0 }, "data": { "key": "GIQMZHQW", "version": 29, "itemType": "journalArticle", "title": "Estimating End-use Demand: A Bayesian Approach", "creators": [ { "creatorType": "author", "firstName": "Luc", "lastName": "Bauwens" }, { "creatorType": "author", "firstName": "Denzil G.", "lastName": "Fiebig" }, { "creatorType": "author", "firstName": "Mark F. J.", "lastName": "Steel" } ], "abstractNote": "Eliminating negative end-use or appliance-consumption estimates and incorporating direct-metering information into the process of generating these estimates—these are two important aspects of conditional demand analysis that will be the focus of this article. In both cases a Bayesian approach seems a natural way of proceeding. What needs to be investigated is whether it is also a viable and effective approach. In addition, such a framework naturally lends itself to prediction. Our application involves the estimation of electrical-appliance consumptions for a sample of Australian households. This application is designed to illustrate the viability of a full Bayesian analysis of the problem.", "publicationTitle": "Journal of Business & Economic Statistics", "publisher": "", "place": "", "date": "1994", "volume": "12", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "221-231", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1080/07350015.1994.10510009", "citationKey": "", "url": "http://www.tandfonline.com/doi/abs/10.1080/07350015.1994.10510009", "accessDate": "2014-03-06T23:19:40Z", "PMID": "", "PMCID": "", "ISSN": "0735-0015", "archive": "", "archiveLocation": "", "shortTitle": "Estimating End-use Demand", "language": "", "libraryCatalog": "Taylor and Francis+NEJM", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:19:40Z", "dateModified": "2014-03-06T23:19:40Z" } }, { "key": "CAAJ6FWG", "version": 28, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/CAAJ6FWG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/CAAJ6FWG", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Larsen and Nesbakken", "parsedDate": "2004-03", "numChildren": 0 }, "data": { "key": "CAAJ6FWG", "version": 28, "itemType": "journalArticle", "title": "Household electricity end-use consumption: results from econometric and engineering models", "creators": [ { "creatorType": "author", "firstName": "Bodil Merethe", "lastName": "Larsen" }, { "creatorType": "author", "firstName": "Runa", "lastName": "Nesbakken" } ], "abstractNote": "Information about total electricity consumption is available for most households. However, the electricity consumption related to different end uses, e.g. space heating, lighting and services from household appliances are usually not metered. Metering data are costly to achieve, and in this paper we study two methods for end-use estimation, which can be applied on household data for appliance holdings, demographic and economic variables. The first method is the engineering model, which has been used to calculate the so far only documented Norwegian end-use results applied on data from a Norwegian energy survey. The second method is an econometric conditional demand model applied on data from the same survey. We compare the numerical results from the two models and give some recommendations regarding choice of end-use approach and what questions to implement in household surveys designed to disaggregate electricity consumption.", "publicationTitle": "Energy Economics", "publisher": "", "place": "", "date": "March 2004", "volume": "26", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "179-200", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy Economics", "DOI": "10.1016/j.eneco.2004.02.001", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0140988304000039", "accessDate": "2014-03-06T23:17:10Z", "PMID": "", "PMCID": "", "ISSN": "0140-9883", "archive": "", "archiveLocation": "", "shortTitle": "Household electricity end-use consumption", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Econometric conditional demand model", "type": 1 }, { "tag": "Electricity end-use consumption", "type": 1 }, { "tag": "Engineering model", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:17:10Z", "dateModified": "2014-03-06T23:17:10Z" } }, { "key": "PHGMIAR4", "version": 27, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/PHGMIAR4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/PHGMIAR4", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Aigner et al.", "parsedDate": "1984-07-01", "numChildren": 0 }, "data": { "key": "PHGMIAR4", "version": 27, "itemType": "journalArticle", "title": "Conditional Demand Analysis for Estimating Residential End-Use Load Profiles", "creators": [ { "creatorType": "author", "firstName": "Dennis J.", "lastName": "Aigner" }, { "creatorType": "author", "firstName": "Cynts", "lastName": "Sorooshian" }, { "creatorType": "author", "firstName": "Pamela", "lastName": "Kerwin" } ], "abstractNote": "", "publicationTitle": "The Energy Journal", "publisher": "", "place": "", "date": "1984-07-01", "volume": "5", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.5547/ISSN0195-6574-EJ-Vol5-No3-6", "citationKey": "", "url": "http://www.iaee.org/en/publications/ejarticle.aspx?id=1652", "accessDate": "2014-03-06T23:16:03Z", "PMID": "", "PMCID": "", "ISSN": "01956574", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:16:03Z", "dateModified": "2014-03-06T23:16:03Z" } }, { "key": "2Z39RMH8", "version": 26, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/2Z39RMH8", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/2Z39RMH8", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "2Z39RMH8", "version": 26, "itemType": "webpage", "title": "How to quantify household electricity end-use consumption", "creators": [], "abstractNote": "", "websiteTitle": "", "websiteType": "", "date": "", "publisher": "", "place": "", "DOI": "", "citationKey": "", "url": "http://ideas.repec.org/p/ssb/dispap/346.html#cites", "accessDate": "2014-03-06T23:13:52Z", "shortTitle": "", "language": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-03-06T23:13:52Z", "dateModified": "2014-03-06T23:13:52Z" } }, { "key": "TQ2DM6FE", "version": 24, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/TQ2DM6FE", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/TQ2DM6FE", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Pratt et al.", "parsedDate": "1993", "numChildren": 0 }, "data": { "key": "TQ2DM6FE", "version": 24, "itemType": "journalArticle", "title": "Metered end-use consumption and load shapes from the ELCAP residential sample of existing homes in the Pacific Northwest", "creators": [ { "creatorType": "author", "firstName": "R. G.", "lastName": "Pratt" }, { "creatorType": "author", "firstName": "C. C.", "lastName": "Conner" }, { "creatorType": "author", "firstName": "B. A.", "lastName": "Cooke" }, { "creatorType": "author", "firstName": "E. E.", "lastName": "Richman" } ], "abstractNote": "Hourly end-use data have been collected from 454 residences and 140 commercial buildings in the Pacific Northwest. The data presented here provide an overview of electricity consumption patterns for 288 homes in the End-Use Load and Consumer Assessment Program (ELCAP) Residential Base Study. The Base Study is a sample of 454 regional single-family, owner-occupied, electrically space-heated houses. Metered residential electrical end-use loads collected as part of the ELCAP are summarized. The ELCAP was conducted by Pacific Northwest Laboratory for the Bonneville Power Administration. This paper addresses a number of load research questions:\n\nDescriptions are presented of the metered hourly end-use loads aggregated across time and across time and across the sample of homes. Observations are made regarding common assertions about energy consumption patterns, but models or detailed statistical analyses of these loads are not included because they are the subject of other current and pending analyses.", "publicationTitle": "Energy and Buildings", "publisher": "", "place": "", "date": "1993", "volume": "19", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "179-193", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Energy and Buildings", "DOI": "10.1016/0378-7788(93)90026-Q", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/037877889390026Q", "accessDate": "2014-02-12T17:39:37Z", "PMID": "", "PMCID": "", "ISSN": "0378-7788", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-02-12T17:39:37Z", "dateModified": "2014-02-12T17:39:37Z" } }, { "key": "Q8W22RJP", "version": 22, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/Q8W22RJP", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/Q8W22RJP", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Capasso et al.", "parsedDate": "1994", "numChildren": 0 }, "data": { "key": "Q8W22RJP", "version": 22, "itemType": "journalArticle", "title": "A bottom-up approach to residential load modeling", "creators": [ { "creatorType": "author", "firstName": "A.", "lastName": "Capasso" }, { "creatorType": "author", "firstName": "W.", "lastName": "Grattieri" }, { "creatorType": "author", "firstName": "R.", "lastName": "Lamedica" }, { "creatorType": "author", "firstName": "A.", "lastName": "Prudenzi" } ], "abstractNote": "", "publicationTitle": "IEEE Transactions on Power Systems", "publisher": "", "place": "", "date": "5/1994", "volume": "9", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "957-964", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1109/59.317650", "citationKey": "", "url": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=317650", "accessDate": "2014-02-12T17:38:33Z", "PMID": "", "PMCID": "", "ISSN": "08858950", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2014-02-12T17:38:33Z", "dateModified": "2014-02-12T17:38:33Z" } }, { "key": "V7R7I2JH", "version": 20, "library": { "type": "group", "id": 247952, "name": "Demographic data to predict electrical load", "links": { "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/247952/items/V7R7I2JH", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/demographic_data_to_predict_electrical_load/items/V7R7I2JH", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1261598, "username": "Bibliobomb", "name": "Alex Hernandez", "links": { "alternate": { "href": "https://www.zotero.org/bibliobomb", "type": "text/html" } } }, "creatorSummary": "Dincer and Dost", "parsedDate": "1996", "numChildren": 0 }, "data": { "key": "V7R7I2JH", "version": 20, "itemType": "journalArticle", "title": "On the energy resources of Canada", "creators": [ { "creatorType": "author", "firstName": "Ibrahim", "lastName": "Dincer" }, { "creatorType": "author", "firstName": "Sadik", "lastName": "Dost" } ], "abstractNote": "This study provides an energy outlook for Canada's energy resources, energy production and consumption, as well as energy trade, and a careful examination of the relationships between energy production and consumption and price, economic, demographic and technological factors, and an investigation of effective factors for future energy production and consumption. Technological advances have played a key role in altering the makeup of Canada's energy system. Technology has altered the way in which Canadians produce and consume energy, increasing the diversity of sources, i.e. oil, natural gas, natural gas liquids, electricity, nuclear energy and renewables, and increasing flexibility of consumption, i.e. net domestic consumption ranged from 6081 PJ to 8191 PJ between 1973 and 1993 with an increase of 35·0%, while primary energy production increased from 6869 PJ to 13034 PJ with an increment of about 90% during this period. Energy conservation technologies have provided the technical basis for increasing the efficiency of energy use and shifting demand away from oil. Advances in energy use in the agricultural, residential, industrial, transportation and commercial sectors require, in part, significant improvements in energy efficiency in Canada. Similarly, research and development into improving recovery efficiencies for oils sands and heavy oil have taken a priority. Improvements in alternative transportation fuel technologies have facilitated a significant substitution of oil products by propane, compressed natural gas and methanol, as well as electricity and hydrogen for future potential. Energy is also an important element in Canada's economy. It is expected that the Canadian economy grows at an annual average rate of 2·5% implying a doubling of Canada's Gross Domestic Product (GDP) until 2010. In 1990, the energy supply sector accounted for about 7·0% of the real GDP and 17·0% of total investment. Also, the sector provided about 2·0% of total employment and energy exports generated 11·0% of export income. During the last decade, Canada's average yearly increase in energy consumption was between 1·0% and 2·0%, just slightly higher than the average annual population growth for the same period. In the light of these results, Canada is the world's most energy-intensive country and would continue to be such in future.", "publicationTitle": "International Journal of Energy Research", "publisher": "", "place": "", "date": "1996", "volume": "20", "issue": "7", "section": "", "partNumber": "", "partTitle": "", "pages": "595–607", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1002/(SICI)1099-114X(199607)20:7<595::AID-ER175>3.0.CO;2-5", "citationKey": "", "url": "http://onlinelibrary.wiley.com/doi/10.1002/(SICI)1099-114X(199607)20:7<595::AID-ER175>3.0.CO;2-5/abstract", "accessDate": "2014-02-12T17:35:40Z", "PMID": "", "PMCID": "", "ISSN": "1099-114X", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Wiley Online Library", "callNumber": "", "rights": "Copyright © 1996 John Wiley & Sons, Ltd.", "extra": "", "tags": [ { "tag": "Canada", "type": 1 }, { "tag": "economic growth", "type": 1 }, { "tag": "energy and trade", "type": 1 }, { "tag": "energy in the economy", "type": 1 }, { "tag": "energy resources", "type": 1 }, { "tag": "energy supply and demand", "type": 1 }, { "tag": "energy use", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-02-12T17:35:40Z", "dateModified": "2014-02-12T17:35:40Z" } } ]