Machine-learning-integrated load scheduling for reduced peak power demand.
Minyoung SungYounghoo KoPublished in: IEEE Trans. Consumer Electron. (2015)
Keyphrases
- machine learning
- power reduction
- scheduling algorithm
- power consumption
- load forecasting
- scheduling problem
- electricity markets
- load balancing
- machine learning methods
- electrical energy
- power saving
- pattern recognition
- knowledge acquisition
- reactive power compensation
- active power
- information systems
- decision trees
- scheduling policies
- active learning
- resource allocation
- knowledge representation
- learning systems
- electric power
- text classification
- natural language processing
- learning algorithm
- electrical power
- machine learning algorithms
- reactive power
- power system
- computational intelligence
- dynamic pricing
- data mining
- parallel machines
- resource constraints
- low power
- inductive logic programming