Clustered Hybrid Wind Power Prediction Model Based on ARMA, PSO-SVM, and Clustering Methods.
Yurong WangDongchuan WangYi TangPublished in: IEEE Access (2020)
Keyphrases
- wind power
- support vector machine svm
- wind speed
- particle swarm optimization algorithm
- particle swarm optimization
- support vector
- prediction model
- short term
- power generation
- short term prediction
- renewable energy
- support vector machine
- svm classifier
- neuro fuzzy
- kernel function
- power system
- load forecasting
- long term
- power grids
- training set
- feature selection
- neural network
- power plant
- generalization ability
- artificial intelligence
- linear programming
- knn
- feature vectors
- multistage
- optimization algorithm
- intelligent systems
- storage space
- multi objective
- artificial neural networks
- expert systems
- case study
- decision making