A Reliable Energy Trading Strategy in Intelligent Microgrids Using Deep Reinforcement Learning.
Man CaoZhiyong YinYajun WangLe YuPeiran ShiZhi CaiPublished in: Comput. Electr. Eng. (2023)
Keyphrases
- reinforcement learning
- function approximation
- state space
- energy minimization
- reinforcement learning algorithms
- multi agent
- learning capabilities
- energy consumption
- intelligent systems
- model free
- learning algorithm
- decision support
- energy distribution
- solar energy
- reinforcement learning methods
- transfer learning
- low energy
- multi agent reinforcement learning
- temporal difference
- energy saving
- cost effective
- context aware
- supervised learning
- hidden markov models
- learning process
- image segmentation