Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets-Reference-Cited by-同舟云学术

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

Published:2023-09 Issue: Volume:225 Page:120010
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Rokhforoz Pegah^ORCID,Montazeri Mina^ORCID,Fink Olga^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference30 articles.

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4. Finding equilibria in the pool-based electricity market with strategic wind power producers and network constraints;Dai;IEEE Transactions on Power Systems,2016

5. Approximating Nash equilibrium in day-ahead electricity market bidding with multi-agent deep reinforcement learning;Du;Journal of Modern Power Systems and Clean Energy,2021

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