Medium and Long-Term Forecasting Method of China's Power Load Based on SaDE-SVM Algorithm.
Yuansheng HuangLijun ZhangMengshu ShiShijian LiuSiyuan XuPublished in: BIC-TA (1) (2018)
Keyphrases
- support vector machine svm
- cost function
- significant improvement
- high accuracy
- preprocessing
- experimental evaluation
- computational cost
- dynamic programming
- classification method
- optimization algorithm
- detection algorithm
- long term
- clustering method
- computational complexity
- classification algorithm
- improved algorithm
- k means
- similarity measure
- detection method
- segmentation method
- input data
- objective function
- computationally efficient
- theoretical analysis
- support vector machine
- training algorithm
- recognition algorithm
- tree structure
- decomposition method
- optimization method
- short term
- energy function
- convergence rate
- multi class classification
- segmentation algorithm
- learning algorithm
- differential evolution
- reduced set
- matching algorithm
- probabilistic model
- support vector
- prediction model
- training process
- optimal parameters
- decision function
- decision forest
- training data
- decomposition algorithm
- artificial neural networks
- feature vectors
- knn
- particle swarm optimization