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dc.contributor.authorCollins, John
dc.contributor.authorKetter, Wolfgang
dc.date2014-08-01
dc.date.accessioned2018-01-08T09:17:17Z
dc.date.available2018-01-08T09:17:17Z
dc.date.issued2014
dc.identifier.issn1610-1987
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/11412
dc.description.abstractThe need to achieve sustainability is driving a major transformation of the energy sector. The traditional top-down approach to electricity supply and grid management is being strongly disrupted by a range of forces including distributed renewables, retail market liberalization, and the need for energy consumers to adapt their behavior to the availability of renewable energy sources. We introduce Power TAC, a competitive simulation that challenges researchers to build autonomous trading agents that tackle the complex decision processes a retailer will need to face in future competitive retail electricity markets.
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 28, No. 3
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectCompetitive simulation
dc.subjectEconomic decision-making
dc.subjectElectric power
dc.subjectPower TAC
dc.subjectSmart grid
dc.subjectSustainability
dc.subjectTrading agents
dc.titleSmart Grid Challenges for Electricity Retailers
dc.typeText/Journal Article
mci.reference.pages191-198
gi.identifier.doi10.1007/s13218-014-0311-6


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