A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts.
Daniel RamosPedro FariaLuis GomesPedro CamposZita A. ValePublished in: EPIA (2022)
Keyphrases
- learning algorithm
- noise tolerant
- learning process
- times faster
- computational complexity
- mobile learning
- significant improvement
- computational cost
- automatically learned
- orders of magnitude
- benchmark datasets
- theoretical analysis
- active learning
- knowledge base
- feature selection
- computationally efficient
- knowledge acquisition
- artificial neural networks
- data structure
- reinforcement learning
- learning models