基于BP-GA 综合算法的风速预测
叶一枝
（上海电气集团股份有限公司中央研究院，上海200070）
摘要： 介绍了BP神经网络算法和BP-GA综合算法的原理，为了提高风电场风速预测的精度，提出用BP-GA算法对风
速进行超短期预测和短期预测，以一风场的实际风速数据为参考，验证所提出算法的有效性。
关键词： 风速；预测；遗传
中图分类号： TM614 文献标识码： A 文章编号： 2095-0802-(2016)12-0083-03
Wind Speed Forecasting Based on Synthesis Algorithm of BP-GA
YE Yizhi
(Academia Sinica, Shanghai Electric Group Company Co., Ltd., Shanghai 200070, China)
Abstract: This paper introduced the principles of the BP neural network algorithm and BP-GA integrated algorithm. To improve
the accuracy of wind speed forecasting in wind power plant, the method of BP-GA algorithm for super short-term and short-term
prediction of wind speed were put forward to verify the validity of proposed algorithm based on actual wind speed data as the reference. Key words: wind speed; prediction; genetic