Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series.
Alexandros-Menelaos TzortzisSotiris PelekisEvangelos SpiliotisSpiros MouzakitisJohn E. PsarrasDimitris AskounisPublished in: CoRR (2023)
Keyphrases
- transfer learning
- load forecasting
- short term
- forecasting accuracy
- electric power
- electricity markets
- long term
- short term load forecasting
- learning tasks
- unit commitment
- power generation
- reinforcement learning
- labeled data
- machine learning
- active learning
- cross domain
- semi supervised learning
- text categorization
- power system
- rbf neural network
- transfer knowledge
- text mining
- machine learning algorithms
- text classification
- wind speed
- wind power
- learning algorithm
- unlabeled data
- collaborative filtering
- knn
- artificial intelligence
- software agents
- radial basis function
- semi supervised
- high dimensional