On the Benefits of Transfer Learning and Reinforcement Learning for Electric Short-term Load Forecasting.
Yuwei FuDi WuBenoit BouletPublished in: iThings/GreenCom/CPSCom/SmartData/Cybermatics (2022)
Keyphrases
- transfer learning
- short term load forecasting
- reinforcement learning
- load forecasting
- learning tasks
- knowledge transfer
- power system
- labeled data
- cross domain
- state space
- function approximation
- active learning
- transfer knowledge
- machine learning
- text categorization
- text classification
- rbf neural network
- neural network
- semi supervised learning
- text mining
- short term
- reinforcement learning algorithms
- learning algorithm
- transferring knowledge
- collaborative filtering
- prior knowledge
- artificial neural networks
- unlabeled data
- reinforcement learning methods
- multiple sources
- machine learning algorithms
- pattern recognition
- feature selection
- artificial intelligence
- data mining