Multi-source transfer learning guided ensemble LSTM for building multi-load forecasting.
Chao PengYifan TaoZhipeng ChenYong ZhangXiaoyan SunPublished in: Expert Syst. Appl. (2022)
Keyphrases
- multi source
- transfer learning
- load forecasting
- data fusion
- short term
- information fusion
- learning tasks
- power system
- multiple sources
- labeled data
- rbf neural network
- data integration
- reinforcement learning
- electric power
- learning algorithm
- active learning
- machine learning
- collaborative filtering
- neural network
- text categorization
- text mining
- data sources
- semi supervised learning
- bp neural network
- machine learning algorithms
- text classification
- feature selection
- long term
- support vector regression
- training data
- supervised learning
- community detection
- data analysis
- data sets
- genetic algorithm
- database systems
- pattern recognition
- unlabeled data