Neural-based electricity load forecasting using hybrid of GA and ACO for feature selection.
Mansour SheikhanNajmeh MohammadiPublished in: Neural Comput. Appl. (2012)
Keyphrases
- load forecasting
- genetic algorithm ga
- feature selection
- short term
- ant colony optimization
- short term load forecasting
- power system
- electric power
- bp neural network
- neural network
- genetic algorithm
- long term
- rbf neural network
- support vector regression
- aco algorithm
- power generation
- metaheuristic
- network architecture
- particle swarm optimization pso
- fitness function
- power grid
- simulated annealing
- particle swarm optimization
- optimization method
- wavelet neural network
- feature space
- artificial neural networks
- radial basis function
- support vector
- support vector machine
- classification accuracy
- machine learning
- model selection
- mathematical models
- fuzzy logic
- multi objective
- feature set
- feature extraction
- forecasting accuracy
- fault diagnosis