Machine-learning-integrated load scheduling for peak electricity reduction.
Minyoung SungYounghoo KoPublished in: ICCE (2015)
Keyphrases
- machine learning
- load forecasting
- power reduction
- scheduling algorithm
- scheduling problem
- short term
- pattern recognition
- electric power
- resource allocation
- data mining
- reduction method
- power system
- machine learning algorithms
- natural language processing
- unit commitment
- computer vision
- machine learning approaches
- inductive learning
- machine learning methods
- computer science
- knowledge representation
- reinforcement learning
- information extraction
- computational intelligence
- learning tasks
- support vector
- explanation based learning
- resource constraints
- feature selection
- real time database systems
- scheduling policies
- power grid
- neural network
- electricity consumption