A combined model based on SSA, neural networks, and LSSVM for short-term electric load and price forecasting.
Hairui ZhangYi YangYu ZhangZhaoshuang HeWei YuanYong YangWan QiuLian LiPublished in: Neural Comput. Appl. (2021)
Keyphrases
- short term
- neural network
- ls svm
- long term
- load forecasting
- electric load
- least squares support vector machine
- least squares
- rbf neural network
- bp neural network
- artificial neural networks
- radial basis function
- forecasting model
- cross validation
- short term prediction
- neural network model
- fuzzy logic
- support vector machine
- pattern recognition
- fault diagnosis
- parameter estimation
- prediction model
- support vector
- improved algorithm
- input variables
- genetic algorithm
- soft computing
- generalization ability
- optical flow
- back propagation
- multi objective