Transfer learning for Demand Response of a Multi-Agent Battery and Electric Water Heater System.
Thijs PeirelinckChris HermansFred SpiessensGeert DeconinckPublished in: ISGT-Europe (2021)
Keyphrases
- transfer learning
- multi agent
- electric vehicles
- reinforcement learning
- energy supply
- power supply
- reinforcement learning agents
- learning tasks
- knowledge transfer
- labeled data
- machine learning
- active learning
- cross domain
- semi supervised learning
- manifold alignment
- cooperative
- text classification
- collaborative filtering
- multi task
- text mining
- learning algorithm
- transfer knowledge
- structure learning
- domain adaptation
- unlabeled data
- machine learning algorithms
- high dimensional
- artificial intelligence
- e learning
- cross domain learning
- unsupervised learning
- bayesian networks
- target domain
- object recognition
- neural network