电源技术2017，Vol.41Issue(1)：103-106,4.
基于多时段综合相似日的光伏发电功率预测
Photovoltaic generation power prediction based on multi-period integrated similar days
摘要
Abstract
Due to the great effect of historical data and weather factors on the output prediction of PV,a method of combining date feature similarity and shape similarity that predicted the sub-periods of photovoltaic power was proposed.Firstly,Euclidean distance was used by the method to divide the meteorological type.Then two different selection algorithm of similar days were used to select a similar day at different periods,and based on its meteorological data and historical power value of the corresponding period,BP neutral network was utilized to predict the power output of the corresponding periods in forecasting day.The result show that the prediction accuracy of this method is improved significantly.关键词
光伏发电/相似日/BP神经网络/功率预测Key words
photovoltaic generation/similar days/BP neutral network/power prediction分类
信息技术与安全科学引用本文复制引用
卢舟鑫,王冰,荣军峰..基于多时段综合相似日的光伏发电功率预测[J].电源技术,2017,41(1):103-106,4.基金项目
国家自然科学基金项目(51007019) （51007019）
