Midterm Load Forecasting: A Multistep Approach Based on Phase Space Reconstruction and Support Vector Machine.
Gen LiYunhua LiFarzad RoozitalabPublished in: IEEE Syst. J. (2020)
Keyphrases
- load forecasting
- phase space reconstruction
- support vector machine
- short term
- support vector regression
- chaotic time series
- short term load forecasting
- power system
- long term
- multivariate time series
- neural network
- electric power
- moving average
- support vector machine svm
- bp neural network
- rbf neural network
- support vector
- feature selection
- machine learning
- radial basis function
- k nearest neighbor
- training data
- generalization ability
- kernel function
- knn
- artificial neural networks
- wavelet neural network
- phase space
- neural network model
- feature space
- training set
- training algorithm
- linear combination
- mathematical models
- hybrid model
- back propagation
- dynamical systems
- clustering algorithm