Combined Forecasting for Short-term Output Power of Wind Farm

doi:10.4028/www.scientific.net/AMR.347-353.3551

	Combined Forecasting for Short-term Output Power of Wind Farm
	Wang, Xiaolan; Chen, Qiancheng
	2012
关键词	Output power short-term BP neural network Elman neural network covariance optimal combined forecasting
卷号	347-353
DOI	10.4028/www.scientific.net/AMR.347-353.3551
页码	3551-3554
英文摘要	Wind power forecast is of great significance for power grid operation and scheduling. The effection of historical time series of output power and weather factors to wind power are considered in this paper. By use of BP neural network, an iterative forecasting model about output power time series is built. An Elman neural network forecasting model is established between numerical weather prediction data and output power. Then combining the above two forecasting models using covariance optimal combination method, a combined forecasting model for wind power is achieved so as to use all effective information of different data. The simulation experiment shows that the prediction accuracy has been improved by the combination forecast.
会议录	RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7
会议录出版者	TRANS TECH PUBLICATIONS LTD
会议录出版地	KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
语种	英语
WOS研究方向	Energy & Fuels ; Materials Science
WOS记录号	WOS:000309147802005
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37095]
专题	电气工程与信息工程学院
通讯作者	Wang, Xiaolan
作者单位	Lanzhou Univ Technol, Sch Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xiaolan,Chen, Qiancheng. Combined Forecasting for Short-term Output Power of Wind Farm[C]. 见:.