Renewable Energy Bidding Strategies Using Multiagent Q-Learning in Double-Sided Auctions
Version 2 2024-06-03, 00:09
Version 1 2023-09-25, 23:24
journal contribution
posted on 2024-06-03, 00:09 authored by Wei-Yu ChiuWei-Yu Chiu, CW Hu, KY ChiuRenewable Energy Bidding Strategies Using Multiagent Q-Learning in Double-Sided Auctions
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Journal
IEEE Systems JournalVolume
16Pagination
985-996Location
Piscataway, N.J.Publisher DOI
ISSN
1932-8184eISSN
1937-9234Language
EnglishPublication classification
C1.1 Refereed article in a scholarly journalIssue
1Publisher
IEEEPublication URL
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Keywords
AGGREGATORSALGORITHMBusinessComputer ScienceComputer Science, Information SystemsDEMAND RESPONSEDouble auctionenergy aggregatorEngineeringEngineering, Electrical & ElectronicGeneratorsmultiagent Q-learning (MAQL)multiagent systemsNumerical modelsOperations Research & Management SciencePeer-to-peer computingPower demandReal-time systemsRenewable energy sourcesrenewable energy tradingScience & TechnologyTechnologyTelecommunications
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