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Titel:

Intelligent Bidding Strategies for Prosumers in Local Energy Markets Based on Reinforcement Learning

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Okwuibe, Godwin C.; Bhalodia, Jeel; Gazafroudi, Amin Shokri; Brenner, Thomas; Tzscheutschler, Peter; Hamacher, Thomas
Abstract:
Local energy markets (LEMs) are proposed in recent years as a way to enable local prosumers and community to trade their electricity and have control over their electrical related resources by ensuring that electricity is traded closer to where it is produced. However, literature is still scarce with the most optimal and effective trading strategies for LEM design. In this work, we propose two reinforcement learning based intelligent bidding strategies for prosumers and consumers trading within...     »
Zeitschriftentitel:
IEEE Access
Jahr:
2022
Band / Volume:
10
Jahr / Monat:
2022-10
Seitenangaben Beitrag:
113275-113293
Volltext / DOI:
doi:10.1109/access.2022.3217497
Verlag / Institution:
Institute of Electrical and Electronics Engineers (IEEE)
E-ISSN:
2169-3536
Publikationsdatum:
01.01.2022
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