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Title:

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

Document type:
Zeitschriftenaufsatz
Author(s):
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...     »
Journal title:
IEEE Access
Year:
2022
Journal volume:
10
Year / month:
2022-10
Pages contribution:
113275-113293
Fulltext / DOI:
doi:10.1109/access.2022.3217497
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
E-ISSN:
2169-3536
Date of publication:
01.01.2022
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