Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast.
Jens SchreiberStephan VogtBernhard SickPublished in: ECML/PKDD (4) (2021)
Keyphrases
- learning problems
- learning tasks
- machine learning algorithms
- learning algorithm
- supervised learning
- kernel methods
- transfer learning
- temporal patterns
- reinforcement learning
- multivariate time series
- power generation
- semi supervised learning
- multi task learning
- load forecasting
- machine learning
- computational learning theory
- wind power
- short term
- multi task
- sample complexity
- pac learning
- training data
- image processing
- multiple kernel learning
- active learning