TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning.
Jiaxin GaoWenbo HuDongxiao ZhangYuntian ChenPublished in: CoRR (2022)
Keyphrases
- transfer learning
- deep learning
- load forecasting
- power system
- machine learning
- learning tasks
- short term
- unsupervised learning
- active learning
- reinforcement learning
- machine learning algorithms
- semi supervised learning
- labeled data
- text classification
- electric power
- mental models
- learning algorithm
- collaborative filtering
- bp neural network
- neural network
- support vector regression
- long term
- fault diagnosis
- fuzzy logic
- data mining
- text categorization
- unlabeled data
- knn
- data sets
- data analysis
- pattern recognition
- decision making
- computer vision
- probabilistic model
- rbf neural network
- information retrieval
- small number
- support vector machine