A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator.
Malte LehnaBjörn HoppmannRené HeinrichChristoph ScholzPublished in: CoRR (2021)
Keyphrases
- electricity markets
- wind power
- reinforcement learning
- electric power
- renewable energy sources
- power generation
- unit commitment
- action space
- software agents
- bidding strategies
- market prices
- market clearing
- learning algorithm
- market participants
- multi agent
- power grids
- business models
- wind speed
- dynamic programming
- multi agent systems
- neuro fuzzy
- profit maximizing
- decision making
- cloud computing
- machine learning
- optimal policy
- electric power systems