Transfer Learning for Photovoltaic Power Forecasting with Long Short-Term Memory Neural Network.
Siyu ZhouLin ZhouMingxuan MaoXinze XiPublished in: BigComp (2020)
Keyphrases
- transfer learning
- neural network
- recurrent neural networks
- learning tasks
- load forecasting
- maximum power point tracking
- solar energy
- labeled data
- prediction model
- artificial neural networks
- machine learning
- cross domain
- knowledge transfer
- back propagation
- reinforcement learning
- learning algorithm
- collaborative filtering
- domain adaptation
- feed forward
- active learning
- bp neural network
- text categorization
- short term
- manifold alignment
- transfer knowledge
- fuzzy logic
- text classification
- semi supervised learning
- semi supervised
- machine learning algorithms
- wind power
- genetic algorithm
- cross domain learning
- power generation
- electricity markets
- multi task
- decision trees
- unlabeled data
- power plant
- similarity measure
- training data
- natural language
- test cases