Demand response of a heterogeneous cluster of electric water heaters using batch reinforcement learning.
Frederik RuelensBert J. ClaessensStijn VandaelSandro IacovellaPieter VingerhoetsRonnie BelmansPublished in: PSCC (2014)
Keyphrases
- reinforcement learning
- batch size
- energy saving
- batch mode
- energy supply
- clustering algorithm
- multi agent
- inventory systems
- function approximation
- energy consumption
- model free
- data clustering
- hierarchical clustering
- batch processing
- water quality
- markov decision processes
- active learning
- hierarchical structure
- dynamic programming
- cluster analysis
- optimal policy
- reinforcement learning algorithms
- electrical energy
- state space
- semi supervised
- sensor networks
- production cost
- temporal difference
- transfer learning
- optimal control
- incremental learning
- learning algorithm