Multiagent Bayesian Deep Reinforcement Learning for Microgrid Energy Management Under Communication Failures.
Hao ZhouAtakan AralIvona BrandicMelike Erol-KantarciPublished in: IEEE Internet Things J. (2022)
Keyphrases
- energy management
- multi agent
- reinforcement learning
- agent communication
- energy saving
- power consumption
- electric vehicles
- power saving
- communication systems
- cooperative
- multi agent systems
- machine learning
- smart home
- intelligent agents
- communication networks
- computer networks
- cost effective
- energy efficiency
- learning algorithm
- neural network
- wireless communication
- communication technologies
- multiagent systems
- computer simulation