Explainable Deep Reinforcement Learning for Multi-Agent Electricity Market Simulations
Author:
Affiliation:
1. Karlsruhe Institute of Technology,Information & Market Engineering,Karlsruhe,Germany
2. Carl von Ossietzky University of Oldenburg,Environmental and Sustainable Information Systems,Oldenburg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10608818/10608487/10608907.pdf?arnumber=10608907
Reference53 articles.
1. Short-term electricity trading for system balancing: An empirical analysis of the role of intraday trading in balancing Germany's electricity system
2. Agent-based modeling: Methods and techniques for simulating human systems
3. Machine learning applications for electricity market agent-based models: A systematic literature review;Kell
4. Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration
5. Understanding Power Market Dynamics by Reflecting Market Interrelations and Flexibility-Oriented Bidding Strategies
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