水力发电2013，Vol.39Issue(7)：100-102,3.
基于BP神经网络的光伏发电功率预测模型研究
Research on Photovoltaic Power Prediction Based On BP Neural Network
摘要
Abstract
The photovoltaic power prediction is important to improve grid scheduling quality.The photovoltaic power forecasting model based on BP neural network is established herein to forecast the output of photovoltaic power station,in which,an innovative idea of taking photovoltaic component environment clearness as model input factor is proposed.The validity of model is proved by adopting the photovoltaic power system of Xinjiang Electric Power Research Institute as verification platform.关键词
光伏发电/功率预测/神经网络/算例验证Key words
photovoltaic power/ power prediction/ neural network/ verification by example分类
信息技术与安全科学引用本文复制引用
李星,晁勤,任娟,李义岩..基于BP神经网络的光伏发电功率预测模型研究[J].水力发电,2013,39(7):100-102,3.基金项目
新疆高技术支撑计划项目(201132116) （201132116）
新疆科技支疆项目(201091204) （201091204）
