On the Use of Off-the-Shelf Machine Learning Techniques to Predict Energy Demands of Power TAC Consumers.
Francisco NatividadRussell Y. FolkWilliam YeohHuiping CaoPublished in: AMEC/TADA (2016)
Keyphrases
- solar energy
- energy management
- energy consumption
- power consumption
- total energy
- machine learning
- energy minimization
- energy saving
- energy supply
- energy efficiency
- energy conservation
- power distribution
- energy dissipation
- power distribution systems
- ultra low power
- data sets
- power generation
- low energy
- electrical power
- trading agents
- machine learning methods
- fossil fuels