Improve Load Forecasting in Energy Communities through Transfer Learning using Open-Access Synthetic Profiles.
Lukas MoosbruggerValentin SeilerGerhard HuberPeter KepplingerPublished in: CoRR (2024)
Keyphrases
- transfer learning
- open access
- transfer knowledge
- load forecasting
- learning tasks
- short term load forecasting
- short term
- labeled data
- reinforcement learning
- cross domain
- active learning
- learning object repositories
- collaborative filtering
- semi supervised learning
- text categorization
- power system
- machine learning
- text classification
- electric power
- long term
- decision trees
- target domain
- rbf neural network
- learning styles