Electricity Demand Forecasting by Multi-Task Learning.
Jean-Baptiste FiotFrancesco DinuzzoPublished in: CoRR (2015)
Keyphrases
- demand forecasting
- multi task learning
- multi task
- historical data
- learning tasks
- gaussian processes
- supply chain
- learning problems
- transfer learning
- high order
- water resources
- theoretical analysis
- learning algorithm
- image classification
- forecasting accuracy
- data sets
- learning process
- high dimensional
- feature space
- neural network model
- similarity measure
- machine learning
- data mining
- neural network