Method of Wind Power Prediction Based on ANN and Improvements

Shao Shuai Song; Ran Li

doi:10.4028/www.scientific.net/AMM.521.143

Paper Titles

Investigation on Control Strategies to Smooth out Wind Farm Output Fluctuations Using Energy Storage System
p.117

Multivariate Linear Wind Speed Forecast Method Based on the SSA and WRF Model
p.124

Overview on Integration Characteristics of Offshore Wind Power
p.128

Short Term Wind Speed Prediction Based on Linear Combination and Error Correction
p.135

Method of Wind Power Prediction Based on ANN and Improvements
p.143

Research on Equivalent Modeling of Double-Fed Wind Farm Study
p.147

The Optimized Charge-Discharge Strategy of EVs Considering the Fluctuation of Wind Power
p.151

Transformer Selection Research Based on Blind Number Theory
p.159

Comprehensive Evaluation Based Selection Method for Power Transformer
p.163

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 521Method of Wind Power Prediction Based on ANN and...

Method of Wind Power Prediction Based on ANN and Improvements

Abstract:

This paper puts emphasis on studying on artificial neural network (ANN) method. Following that a model of wind power prediction is established based on back-propagation neural network. In order to improve the learning speed of ANN, a revised BP algorithm is adopted by using variable step and the combination of GA and BP algorithm. This method has a good effect in practice.