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eess.SY2025
The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage
Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao
Power-to-Gas (P2G) technologies gain recognition for enabling the integration of intermittent renewables, such as wind and solar, into electricity grids. However, determining the m…
eess.SY2025★ 3 cited
Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations
Manuel Sage, Martin Staniszewski, Yaoyao Fiona Zhao
The application of deep reinforcement learning algorithms to economic battery dispatch problems has significantly increased recently. However, optimizing battery dispatch over long…