高压电器2017，Vol.53Issue(9)：125-129,5.DOI:10.13296/j.1001-1609.hva.2017.09.021
基于Elman和实测风速功率数据的短期风功率预测
Short-term Wind Power Forecasting Based on Elman Neural Network and Measured Wind Speed Power Data
王一珺 1贾嵘1
作者信息
- 1. 西安理工大学水利水电学院,西安710048
- 折叠
摘要
Abstract
In order to improve the precision of forecasting wind power,a short-term wind power forecasting method based on Elman neural network and measured wind speed power data is proposed.The wind power curve of wind turbine can be fitted with the measured data of wind speed and power,which can be applied to short-term wind power forecast.The forecasting method based on Elman neural network is built,and GA is applied to optimize the key parameters of Elman neural network.Finally,the wind power prediction is carried out combining the forecasting wind speed and the fitting wind speed power curve.The proposed model is validated by applying this modeling process to the measured data.关键词
Elman神经网络/短期风功率预测/风功率曲线/遗传算法Key words
Elman neural network/short-term wind power prediction/wind power curve/GA引用本文复制引用
王一珺,贾嵘..基于Elman和实测风速功率数据的短期风功率预测[J].高压电器,2017,53(9):125-129,5.
