Reinforcement Learning Based Cooperative P2P Energy Trading between DC Nanogrid Clusters with Wind and PV Energy Resources.
Sangkeum LeeHojun JinSarvar Hussain NengrooTaewook HeoYoonmee DohChungho LeeDongsoo HarPublished in: CoRR (2022)
Keyphrases
- cooperative
- reinforcement learning
- proxy cache
- wind energy
- peer to peer
- clustering algorithm
- multi agent
- fully distributed
- energy consumption
- hierarchical clustering
- multi agent reinforcement learning
- electronic commerce
- function approximation
- peer to peer computing
- solar energy
- energy minimization
- reinforcement learning algorithms
- trading systems
- multi agent systems
- electrical power
- state space
- optimal policy
- temporal difference
- overlay network
- multiagent reinforcement learning
- foreign exchange
- data points
- fuzzy c means
- data clustering
- game theory
- mobile robot
- fuzzy clustering
- cluster analysis
- learning process
- markov decision processes
- self organizing maps