Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast.
Jens SchreiberStephan VogtBernhard SickPublished in: CoRR (2022)
Keyphrases
- learning problems
- learning tasks
- machine learning algorithms
- learning algorithm
- supervised learning
- kernel methods
- transfer learning
- machine learning
- multivariate time series
- semi supervised learning
- temporal patterns
- sample complexity
- multi task learning
- reinforcement learning
- computational learning theory
- image processing
- load forecasting
- pac learning
- multiple kernel learning
- data sets
- multi task
- short term
- feature extraction
- multi label
- semi supervised
- convex optimization problems
- box jenkins
- unsupervised learning
- neural network