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1998 - Reliability, scheduling markets and electricity pricing.pdf", "md5": "7bee9bb3e27ee244d40df809cbfd2f69", "mtime": 1456394228960, "tags": [], "relations": {}, "dateAdded": "2018-12-19T13:25:56Z", "dateModified": "2018-12-19T13:25:56Z" } }, { "key": "ARUL3VTB", "version": 198, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/ARUL3VTB", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/ARUL3VTB", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2831969, "username": "mansarin", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mansarin", "type": "text/html" } } }, "creatorSummary": "Cadwalader et al.", "parsedDate": "1998", "numChildren": 1 }, "data": { "key": "ARUL3VTB", "version": 198, "itemType": "journalArticle", "title": "Reliability, scheduling markets and electricity pricing", "creators": [ { "creatorType": "author", "firstName": "Michael D.", "lastName": "Cadwalader" }, { "creatorType": "author", "firstName": "Scott M.", "lastName": "Harvey" }, { "creatorType": "author", "firstName": "Susan L.", "lastName": "Pope" }, { "creatorType": "author", "firstName": "William W.", "lastName": "Hogan" } ], "abstractNote": "Outline of transmission rights and revenue adequacy in the context of expplicit reserve markets", "publicationTitle": "", "publisher": "", "place": "", "date": "1998", "volume": "", "issue": "May", "section": "", "partNumber": "", "partTitle": "", "pages": "1–25", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2018-12-19T13:25:56Z", "dateModified": "2018-12-19T13:25:56Z" } }, { "key": "X8MQQSNE", "version": 195, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/X8MQQSNE", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/X8MQQSNE", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/470688/items/QVPKP326", "type": "application/json" } }, "meta": { "createdByUser": { "id": 2831969, "username": "mansarin", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mansarin", "type": "text/html" } } } }, "data": { "key": "X8MQQSNE", "version": 195, "parentItem": "QVPKP326", "itemType": "attachment", "linkMode": "imported_url", "title": "Snapshot", "accessDate": "2018-04-02T13:39:40Z", "url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3087096", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "papers.html", "md5": "69ccebbb05d3846951e344d59ef5c798", "mtime": 1522676381327, "tags": [], "relations": {}, "dateAdded": "2018-04-02T13:39:40Z", "dateModified": "2018-04-02T13:39:40Z" } }, { "key": "QVPKP326", "version": 194, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/QVPKP326", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/QVPKP326", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2831969, "username": "mansarin", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mansarin", "type": "text/html" } } }, "creatorSummary": "Ketter et al.", "parsedDate": "2017-12-13", "numChildren": 1 }, "data": { "key": "QVPKP326", "version": 194, "itemType": "report", "title": "The 2018 Power Trading Agent Competition", "creators": [ { "creatorType": "author", "firstName": "Wolfgang", "lastName": "Ketter" }, { "creatorType": "author", "firstName": "John", "lastName": "Collins" }, { "creatorType": "author", "firstName": "Mathijs de", "lastName": "Weerdt" } ], "abstractNote": "This is the specification for the Power Trading Agent Competition for 2018 (Power TAC 2018). Power TAC is a competitive simulation that models a \"liberalized\" retail electrical energy market, where competing business entities or \"brokers\" offer energy services to customers through tariff contracts, and must then serve those customers by trading in a wholesale market. Brokers are challenged to maximize their profits by buying and selling energy in the wholesale and retail markets, subject to fixed costs and constraints; the winner of an individual \"game\" is the broker with the highest bank balance at the end of a simulation run. Costs include fees for publication and withdrawal of tariffs, and distribution fees for transporting energy to their contracted customers. Costs are also incurred whenever there is an imbalance between a broker’s total contracted energy supply and demand within a given time slot.The simulation environment models a wholesale market, a regulated distribution utility, and a population of energy customers, situated in a real location on Earth during a specific period for which weather data is available. The wholesale market is a relatively simple call market, similar to many existing wholesale electric power markets, such as Nord Pool in Scandinavia or FERC markets in North America, but unlike the FERC markets we are modeling a single region, and therefore we approximate locational-marginal pricing through a simple manipulation of the wholesale supply curve. Customer models include households, electric vehicles, and a variety of commercial and industrial entities, many of which have production capacity such as solar panels or wind turbines. All have “real-time” metering to support allocation of their hourly supply and demand to their subscribed brokers, and all are approximate utility maximizers with respect to tariff selection, although the factors making up their utility functions may include aversion to change and complexity that can retard uptake of marginally better tariff offers. The distribution utility models the regulated natural monopoly that owns the regional distribution network, and is responsible for maintenance of its infrastructure. Real-time balancing of supply and demand is managed by a market-based mechanism that uses economic incentives to encourage brokers to achieve balance within their portfolios of tariff subscribers and wholesale market positions, in the face of stochastic customer behaviors and weather-dependent renewable energy sources.Changes for 2018 are focused on stability, on simplifying interaction with the balancing market, and on encouraging more vigorous competition, and are highlighted by change bars in the margins. See Sections 3.1.2, 6, and 8.5 for details.", "reportNumber": "ID 3087096", "reportType": "SSRN Scholarly Paper", "institution": "Social Science Research Network", "place": "Rochester, NY", "date": "2017/12/13", "seriesTitle": "", "seriesNumber": "", "pages": "", "DOI": "", "ISBN": "", "citationKey": "", "url": "https://papers.ssrn.com/abstract=3087096", "accessDate": "2018-04-02T13:39:37Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "papers.ssrn.com", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "SUSTAINABILITY", "type": 1 }, { "tag": "autonomous agents", "type": 1 }, { "tag": "electronic commerce", "type": 1 }, { "tag": "energy", "type": 1 }, { "tag": "policy guidance", "type": 1 }, { "tag": "portfolio management", "type": 1 }, { "tag": "power", "type": 1 }, { "tag": "preferences", "type": 1 }, { "tag": "trading agent competition", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2018-04-02T13:39:37Z", "dateModified": "2018-04-02T13:39:37Z" } }, { "key": "ZZ3NVMK5", "version": 229, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/ZZ3NVMK5", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/ZZ3NVMK5", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/470688/items/ZHJ76IWH", "type": "application/json" } }, "meta": { "createdByUser": { "id": 2831969, "username": "mansarin", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mansarin", "type": "text/html" } } } }, "data": { "key": "ZZ3NVMK5", "version": 229, "parentItem": "ZHJ76IWH", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Abstract Record", "accessDate": "2017-03-08T13:12:19Z", "url": "http://ieeexplore.ieee.org/abstract/document/7856197/", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "7856197.html", "md5": "8750ef0b52ae0652148f044f71c54364", "mtime": 1614872672000, "tags": [], "relations": {}, "dateAdded": "2017-03-08T13:15:42Z", "dateModified": "2017-03-08T13:15:42Z" } }, { "key": "UN5NEQ85", "version": 182, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/UN5NEQ85", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/UN5NEQ85", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/470688/items/ZHJ76IWH", "type": "application/json" } }, "meta": { "createdByUser": { "id": 2831969, "username": "mansarin", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mansarin", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "UN5NEQ85", "version": 182, "parentItem": "ZHJ76IWH", "itemType": "attachment", "linkMode": "imported_file", "title": "Analyzing and improving the energy balancing.pdf", "accessDate": "", "url": "", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Analyzing and improving the energy balancing.pdf", "md5": "d71f7cc79aab13a6a2d035cce399c916", "mtime": 1488978762277, "tags": [], "relations": {}, "dateAdded": "2017-03-08T13:15:42Z", "dateModified": "2017-03-08T13:15:42Z" } }, { "key": "ZHJ76IWH", "version": 181, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/ZHJ76IWH", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/ZHJ76IWH", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2831969, "username": "mansarin", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mansarin", "type": "text/html" } } }, "creatorSummary": "Ansarin et al.", "parsedDate": "2016-10", "numChildren": 2 }, "data": { "key": "ZHJ76IWH", "version": 181, "itemType": "conferencePaper", "title": "Analyzing and improving the energy balancing market in the power trading agent competition", "creators": [ { "creatorType": "author", "firstName": "M.", "lastName": "Ansarin" }, { "creatorType": "author", "firstName": "W.", "lastName": "Ketter" }, { "creatorType": "author", "firstName": "J.", "lastName": "Collins" } ], "abstractNote": "Widespread adoption of sustainable energy sources is driving electricity grid operators to supplement hierarchical control regimes with market-based control that better motivates stakeholder involvement. However, to prevent market failures, such controls require testing before real-world implementation. The Power Trading Agent Competition is a competitive simulation of distribution grids that mirrors real-world scenarios and tests alternative policy and business scenarios. In Power TAC, broker agents acquire energy through bidding in a forward wholesale market to satisfy their customers overall demand on an hourly basis. In addition, a balancing market is intended to resolve real-time energy imbalances caused by broker prediction errors using demand response resources. As part of the annual alignment process, we discovered that brokers in the 2015 competition were persistently buying insufficient energy on the wholesale market to satisfy their customer demand. Instead, the balancing market made up the deficit, charging brokers a premium over the wholesale price. Also, demand response resources were heavily underused. We studied the economic impact of this systematic imbalance on brokers and discovered that they were behaving rationally, given the prices they faced in the two markets. We present the process and results of this analysis, and show how the balancing markets pricing mechanism can be adjusted for the 2016 competition to make it rational for brokers to achieve an overall neutral imbalance.", "proceedingsTitle": "2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)", "conferenceName": "2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)", "publisher": "", "place": "", "date": "October 2016", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "1-6", "series": "", "seriesNumber": "", "DOI": "10.1109/ISGTEurope.2016.7856197", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Demand side management", "type": 1 }, { "tag": "Load management", "type": 1 }, { "tag": "Power TAC", "type": 1 }, { "tag": "Power Trading Agent Competition", "type": 1 }, { "tag": "Production", "type": 1 }, { "tag": "Water heating", "type": 1 }, { "tag": "Weather forecasting", "type": 1 }, { "tag": "annual alignment process", "type": 1 }, { "tag": "balancing market", "type": 1 }, { "tag": "bidding", "type": 1 }, { "tag": "broker agents", "type": 1 }, { "tag": "broker prediction errors", "type": 1 }, { "tag": "demand response resources", "type": 1 }, { "tag": "distributed power generation", "type": 1 }, { "tag": "distribution grids", "type": 1 }, { "tag": "electricity grid operators", "type": 1 }, { "tag": "forward wholesale market", "type": 1 }, { "tag": "hierarchical control regimes", "type": 1 }, { "tag": "market failures", "type": 1 }, { "tag": "market-based control", "type": 1 }, { "tag": "power markets", "type": 1 }, { "tag": "pricing mechanism", "type": 1 }, { "tag": "real-time energy imbalances", "type": 1 }, { "tag": "renewable energy sources", "type": 1 }, { "tag": "stakeholder involvement", "type": 1 }, { "tag": "sustainable energy sources", "type": 1 }, { "tag": "tendering", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2017-03-08T13:15:42Z", "dateModified": "2017-03-08T13:15:42Z" } }, { "key": "46JEBSFM", "version": 175, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/46JEBSFM", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/46JEBSFM", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2831969, "username": "mansarin", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mansarin", "type": "text/html" } } }, "creatorSummary": "Ketter et al.", "parsedDate": "2016-06", "numChildren": 1 }, "data": { "key": "46JEBSFM", "version": 175, "itemType": 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"alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/MXFNR4FG", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2831969, "username": "mansarin", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mansarin", "type": "text/html" } } }, "lastModifiedByUser": { "id": 1266075, "username": "grampajohn", "name": "John Collins", "links": { "alternate": { "href": "https://www.zotero.org/grampajohn", "type": "text/html" } } }, "creatorSummary": "Liefers et al.", "parsedDate": "2014", "numChildren": 1 }, "data": { "key": "MXFNR4FG", "version": 234, "itemType": "bookSection", "title": "A Successful Broker Agent for Power TAC", "creators": [ { "creatorType": "author", "firstName": "Bart", "lastName": "Liefers" }, { "creatorType": "author", "firstName": "Jasper", "lastName": "Hoogland" }, { "creatorType": "author", "firstName": "Han La", "lastName": "Poutré" }, { "creatorType": "editor", "firstName": "Sofia", "lastName": "Ceppi" }, { "creatorType": "editor", "firstName": "Esther", "lastName": "David" }, { "creatorType": "editor", "firstName": "Vedran", "lastName": "Podobnik" }, { "creatorType": "editor", "firstName": "Valentin", "lastName": "Robu" }, { "creatorType": "editor", "firstName": "Onn", "lastName": "Shehory" }, { "creatorType": "editor", "firstName": "Sebastian", "lastName": "Stein" }, { "creatorType": "editor", "firstName": "Ioannis A.", "lastName": "Vetsikas" } ], "abstractNote": "The Power TAC simulates a smart grid energy market. In this simulation, broker agents compete for customers on a tariff market and trade energy on a wholesale market. It provides a platform for testing strategies of broker agents against other strategies. In this paper we describe the strategies of our broker agent. Amongst others, due to a beneficial trading technique related to equilibria in continuous auctions on the wholesale market and a strategy inspired by Tit-for-Tat in the Iterated Prisoner’s Dilemma game on the tariff market, our broker ended second in the 2013 Power TAC.", "bookTitle": "Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets", "series": "Lecture Notes in Business Information Processing", "seriesNumber": "187", "volume": "", "numberOfVolumes": "", "edition": "", "date": "2014", "publisher": "Springer International Publishing", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "pages": "99-113", "ISBN": "978-3-319-13217-4 978-3-319-13218-1", "DOI": "10.1007/978-3-319-13218-1_8", "citationKey": "", "url": "http://link.springer.com/chapter/10.1007/978-3-319-13218-1_8", "accessDate": "2016-05-25T14:34:23Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "link.springer.com", "callNumber": "", "rights": "©2014 Springer International Publishing Switzerland", "extra": "", "tags": [ { "tag": "Artificial Intelligence (incl. Robotics)", "type": 1 }, { "tag": "Computer Appl. in Administrative Data Processing", "type": 1 }, { "tag": "IT in Business", "type": 1 }, { "tag": "Information Systems Applications (incl. 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AstonTAC buys electrical energy from the wholesale market and sells it in the retail market. The main focus of the paper is on the broker's bidding strategy in the wholesale market. In particular, it employs Markov Decision Processes (MDP) to purchase energy at low prices in a day-ahead power wholesale market, and keeps energy supply and demand balanced. Moreover, we explain how the agent uses Non-Homogeneous Hidden Markov Model (NHHMM) to forecast energy demand and price. 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"creatorSummary": "Ansarin et al.", "parsedDate": "2016-04-12", "numChildren": 1 }, "data": { "key": "PSGNP94A", "version": 155, "itemType": "report", "title": "Market-Based Multi-Agent Coordination to Manage Energy Balance in Smart Grids", "creators": [ { "creatorType": "author", "firstName": "Mohammad", "lastName": "Ansarin" }, { "creatorType": "author", "firstName": "Wolfgang", "lastName": "Ketter" }, { "creatorType": "author", "firstName": "John", "lastName": "Collins" } ], "abstractNote": "Widespread adoption of sustainable energy sources is driving electricity grid operators to supplement hierarchical control regimes with market-based control that better motivates stakeholder involvement.However, to prevent market failures, such controls require testing before real-world implementation.The Power Trading Agent Competition is a competitive simulation of distribution grids that mirrors real-world scenarios and tests alternative policy and business scenarios.In Power TAC, broker 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Multiagent Control in the Electricity Infrastructure", "creators": [ { "creatorType": "author", "firstName": "J. K.", "lastName": "Kok" }, { "creatorType": "author", "firstName": "C. J.", "lastName": "Warmer" }, { "creatorType": "author", "firstName": "I. G.", "lastName": "Kamphuis" } ], "abstractNote": "Different driving forces push the electricity production towards decentralization. As a result, the current electricity infrastructure is expected to evolve into a network of networks, in which all system parts communicate with each other and influence each other. Multi-agent systems and electronic markets form an appropriate technology needed for control and coordination tasks in the future electricity network. We present the PowerMatcher, a market-based control concept for supply and demand matching (SDM) in electricity networks. In a presented simulation study is shown that the simultaneousness of electricity production and consumption can be raised substantially using this concept. Further, we present a field test with medium-sized electricity producing and consuming installations controlled via this concept, currently in preparation.", "proceedingsTitle": "Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2005", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "75–82", "series": "AAMAS '05", "seriesNumber": "", "DOI": "10.1145/1082473.1082807", "ISBN": "978-1-59593-093-4", "citationKey": "", "url": "http://doi.acm.org/10.1145/1082473.1082807", "accessDate": "2016-03-31T14:15:24Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "PowerMatcher", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "electrical power systems automation", "type": 1 }, { "tag": "electricity infrastructure", "type": 1 }, { "tag": "electronic markets", "type": 1 }, { "tag": "multi-agent control", "type": 1 }, { "tag": "multi-agent systems", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2016-03-31T14:15:24Z", "dateModified": "2016-03-31T14:15:24Z" } }, { "key": "93AHHQFQ", "version": 147, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/93AHHQFQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/93AHHQFQ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1266075, "username": "grampajohn", "name": "John Collins", "links": { "alternate": { "href": "https://www.zotero.org/grampajohn", "type": "text/html" } } }, "lastModifiedByUser": { "id": 2831969, "username": "mansarin", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mansarin", "type": "text/html" } } }, "creatorSummary": "Ketter et al.", "parsedDate": "2016-12", "numChildren": 0 }, "data": { "key": "93AHHQFQ", "version": 147, "itemType": "journalArticle", "title": "Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics", "creators": [ { "creatorType": "author", "firstName": "Wolfgang", "lastName": "Ketter" }, { "creatorType": "author", "firstName": "Markus", "lastName": "Peters" }, { "creatorType": "author", "firstName": "John", "lastName": "Collins" }, { "creatorType": "author", "firstName": "Alok", "lastName": "Gupta" } ], "abstractNote": "Wicked problems like sustainable energy and financial market stability are societal challenges that arise from complex\nsociotechnical systems in which numerous social, economic, political, and technical factors interact. Understanding and\nmitigating these problems requires research methods that scale beyond the traditional areas of inquiry of information\nsystems (IS) individuals, organizations, and markets and that deliver solutions in addition to insights. We describe an\napproach to address these challenges through competitive benchmarking (CB), a novel research method that helps\ninterdisciplinary research communities tackle complex challenges of societal scale by using different types of data from\na variety of sources such as usage data from customers, production patterns from producers, public policy and regulatory\nconstraints, etc. for a given instantiation. Further, the CB platform generates data that can be used to improve operational\nstrategies and judge the effectiveness of regulatory regimes and policies. We describe our experience applying CB to\nthe sustainable energy challenge in the Power Trading Agent Competition (Power TAC) in which more than a dozen\nresearch groups from around the world jointly devise, benchmark, and improve IS-based solutions.", "publicationTitle": "Management Information Systems Quarterly, Forthcoming", "publisher": "", "place": "", "date": "2016/12", "volume": "40", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": { "owl:sameAs": "http://zotero.org/groups/140088/items/WNPU5MI7" }, "dateAdded": "2016-01-31T04:02:02Z", "dateModified": "2016-03-31T12:30:17Z" } }, { "key": "38U9FXGX", "version": 144, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/38U9FXGX", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/38U9FXGX", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/470688/items/BEJPC623", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1266075, "username": "grampajohn", "name": "John Collins", "links": { "alternate": { "href": "https://www.zotero.org/grampajohn", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "38U9FXGX", "version": 144, "parentItem": "BEJPC623", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Full Text PDF", "accessDate": "2016-03-23T21:35:18Z", "url": "http://ieeexplore.ieee.org.ezp2.lib.umn.edu/ielx7/7118474/7131775/07131880.pdf?tp=&arnumber=7131880&isnumber=7131775", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Rashkovska et al. - 2015 - Online short-term forecasting of photovoltaic ener.pdf", "md5": "2557df32c321517eee97863393d22140", "mtime": 1458768921000, "tags": [], "relations": {}, "dateAdded": "2016-03-23T21:35:18Z", "dateModified": "2016-03-23T21:35:21Z" } }, { "key": "9MMH9BCK", "version": 202, "library": { "type": "group", "id": 470688, "name": "Power TAC analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/470688/items/9MMH9BCK", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/power_tac_analysis/items/9MMH9BCK", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/470688/items/BEJPC623", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1266075, "username": "grampajohn", "name": "John Collins", "links": { "alternate": { "href": "https://www.zotero.org/grampajohn", "type": "text/html" } } } }, "data": { "key": "9MMH9BCK", "version": 202, "parentItem": "BEJPC623", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Abstract Record", "accessDate": "2016-03-23T21:35:20Z", "url": "http://ieeexplore.ieee.org.ezp2.lib.umn.edu/xpl/articleDetails.jsp?arnumber=7131880&searchWithin%3Denergy+balance%26filter%3DAND%28p_IS_Number%3A7131775%29", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "articleDetails.html", "md5": "c441bfc409229bc1c7e90a36a413738f", "mtime": 1614872672000, "tags": [], "relations": {}, "dateAdded": "2016-03-23T21:35:20Z", "dateModified": "2016-03-23T21:35:20Z" } } ]