Nick Harder, Ramiz Qussous, and Anke Weidlich
Fit for purpose: Modeling wholesale electricity markets realistically with multi-agent deep reinforcement learning
Energy and AI, Volume 14, 2023
https://doi.org/10.1016/j.egyai.2023.100295

Nick Harder, Anke Weidlich, and Philipp Staudt
Finding individual strategies for storage units in electricity market models using deep reinforcement learning
Energy Inform 6 (Suppl 1), 41, 2023
https://doi.org/10.1186/s42162-023-00293-0

Florian Maurer, Kim K. Miskiw, Rebeca Ramirez Acosta, Nick Harder, Volker Sander & Sebastian Lehnhoff
Market Abstraction of Energy Markets and Policies – Application in an Agent-Based Modeling Toolbox
Jørgensen, B.N., da Silva, L.C.P., Ma, Z. (eds) Energy Informatics. EI.A 2023. Lecture Notes in Computer Science, vol 14468.
http://dx.doi.org/10.1007/978-3-031-48652-4_10

Kim K. Miskiw, Nick Harder and Philipp Staudt
Multi Power-Market Bidding: Stochastic Programming and Reinforcement Learning
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024.
https://scholarspace.manoa.hawaii.edu/bitstreams/ab278af7-2dfe-4c36-a538-eaccb8be1262/download

Nick Harder, Anke Weidlich, and Philipp Staudt
Modeling Participation of Storage Units in Electricity Markets using Multi-Agent Deep Reinforcement Learning.
In Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23). Association for Computing Machinery, New York, NY, USA, 439–445
https://doi.org/10.1145/3575813.3597351

Manish Khanra, Parag Patil, Marian Klobasa, and Daniel Scholz
Economic Evaluation of Electricity and Hydrogen-Based Steel Production Pathways: Leveraging Market Dynamics and Grid Congestion Mitigation through Demand Side Flexibility.
In Proceedings of the 20th International Conference on European Energy Market (EEM24). IEEE, Istanbul, Turkey, 2024
https://doi.org/10.1109/EEM60825.2024.10608890

Florian Maurer, Felix Nitsch, Johannes Kochems, Christoph Schimeczek, Volker Sander, and Sebastian Lehnhoff
Know Your Tools – A Comparison of Open-Source Energy Market Simulation Models.
In Proceedings of the 20th International Conference on European Energy Market (EEM24). IEEE, Istanbul, Turkey, 2024
https://doi.org/10.1109/EEM60825.2024.10609021

Johanna Adams, Nick Harder, and Anke Weidlich
Do Block Orders Matter? Impact of Regular Block and Linked Orders on Electricity Market Simulation Outcomes.
In Proceedings of the 20th International Conference on European Energy Market (EEM24). IEEE, Istanbul, Turkey, 2024
https://doi.org/10.1109/EEM60825.2024.10608956

Kim K. Miskiw and Philipp Staudt
Explainable Deep Reinforcement Learning for Multi-Agent Electricity Market Simulations.
In Proceedings of the 20th International Conference on European Energy Market (EEM24). IEEE, Istanbul, Turkey, 2024
https://doi.org/10.1109/EEM60825.2024.10608907