Ultra-short-term wind power prediction based on double decomposition and LSSVM.
Bin QinXun HuangXin WangLingzhong GuoPublished in: Trans. Inst. Meas. Control (2023)
Keyphrases
- short term
- wind power
- least squares support vector machine
- ls svm
- short term prediction
- forecasting model
- long term
- wind speed
- prediction model
- load forecasting
- power generation
- least squares
- arima model
- cross validation
- generalization ability
- wind turbine
- variable selection
- rbf neural network
- correlation coefficient
- power system
- stochastic programming
- neuro fuzzy
- bp neural network
- back propagation
- optimization algorithm
- support vector machine