NDLI: Study on the adaptability of day-ahead wind power forecast system for on-site use

Content Provider	IEEE Xplore Digital Library
Author	Man Xu Zongxiang Lu Ying Qiao Ningbo Wang Shiyuan Zhou Yanhong Ma
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Tsinghua Univ., Beijing, China (Man Xu; Zongxiang Lu; Ying Qiao) \|\| Wind power Technol. center of Gansu Electr. Power Corp., China (Ningbo Wang; Shiyuan Zhou; Yanhong Ma)
Abstract	The precision of wind power forecast system (abbr. WPFS) depends on many field situations, such as geographical conditions, the quality of numerical weather prediction (abbr. NWP), and historical data acquisition. The forecast models and their specifications differ case by case. It is necessary to provide any efficient methodology to design an adaptive WPFS. This paper analyzes, evaluates and then handles the affecting factors, including the space and temporal limitation of NWP, the misplacement error of grid point forecasts and the regression of wind power output model. A systematical solution which is independent on forecasting models is then proposed and verified to improve the adaptability of WPFS that consists of pre-processing of input data, setup of wind power output model and forecast error evaluation.
Sponsorship	IEEE Power Energy Soc.
Starting Page	1
Ending Page	5
File Size	293831
Page Count	5
File Format	PDF
ISBN	9781479913039
ISSN	19449925
DOI	10.1109/PESMG.2013.6672837
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind forecasting Wind power generation Adaptation models Wind speed Predictive models Forecasting forecasting error adaptability day-ahead wind power forecast NWP
Content Type	Text
Resource Type	Article

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