Parallel Processing for Power System Generation Scheduling with Artificial Neural Networks for Load Forecasting.
Jianxin TangPublished in: PDPTA (2005)
Keyphrases
- parallel processing
- power system
- load forecasting
- artificial neural networks
- short term load forecasting
- computational intelligence
- power grid
- scheduling problem
- neural network
- power generation
- bp neural network
- unit commitment
- short term
- smart grid
- neural network model
- soft computing
- feed forward
- electric power
- rbf neural network
- feed forward neural networks
- genetic algorithm ga
- radial basis function
- experimental data
- generalization ability
- differential equations
- fuzzy logic
- control system
- voltage stability
- machine learning
- data mining