Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions

Article ID	Journal	Published Year	Pages	File Type
7163068	Energy Conversion and Management	2015	15 Pages	PDF

Keywords

SAC Wind speed predictions WDF KSF UKF BFGS SBM OFM SAA MSM NWP ARIMA MLP MLR RBF FAC ESM ANN EMD SVR PCA AdaBoost AdaBoost algorithm Apriori algorithm Genetic algorithm back propagation Wind energy PSO Particle swarm optimization MAS ALS Wavelet transform Empirical mode decomposition Principal component analysis Adaptive boosting radial basis functions Weibull distribution function auto regressive Support vector regression Multiple linear regression Neural networks artificial neural networks Unscented Kalman filter Support vector machine SVM Markov switching model Auto regressive integrated moving average Bayesian theory Multilayer perceptron Numerical weather prediction Wind speed forecasting

Related Topics

Physical Sciences and Engineering Energy Energy (General)

Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions

Authors

Hui Liu, Hong-qi Tian, Yan-fei Li, Lei Zhang,