Prediction of solar power generation based on the principal components analysis and the BP neural network.
Jiapeng XiuChenchen ZhuZhengqiu YangPublished in: CCIS (2014)
Keyphrases
- bp neural network
- principal components analysis
- load forecasting
- power generation
- prediction model
- neural network
- back propagation
- fault diagnosis
- covariance matrix
- rbf neural network
- power system
- generalization ability
- artificial neural networks
- short term
- dimensionality reduction
- principal components
- wind power
- neural network model
- bp neural network algorithm
- linear discriminant analysis
- forecasting model
- particle swarm optimization
- regression model
- optimization algorithm
- power plant
- feature extraction
- ls svm
- long term
- support vector machine
- fuzzy logic
- lower bound
- electric power
- wavelet neural network
- principal component analysis
- input data
- knowledge base
- genetic algorithm
- machine learning