NDLI: A review of wind power and wind speed forecasting methods with different time horizons

Content Provider	IEEE Xplore Digital Library
Author	Soman, S.S. Zareipour, H. Malik, O. Mandal, P.
Copyright Year	2010
Abstract	In recent years, environmental considerations have prompted the use of wind power as a renewable energy resource. However, the biggest challenge in integrating wind power into the electric grid is its intermittency. One approach to deal with wind intermittency is forecasting future values of wind power production. Thus, several wind power or wind speed forecasting methods have been reported in the literature over the past few years. This paper provides insight on the foremost forecasting techniques, associated with wind power and speed, based on numeric weather prediction (NWP), statistical approaches, artificial neural network (ANN) and hybrid techniques over different time-scales. An overview of comparative analysis of various available forecasting techniques is discussed as well. In addition, this paper further gives emphasis on the major challenges and problems associated with wind power prediction.
Starting Page	1
Ending Page	8
File Size	237010
Page Count	8
File Format	PDF
ISBN	9781424480463
e-ISBN	9781424480470
DOI	10.1109/NAPS.2010.5619586
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind forecasting Artificial neural networks Forecasting Wind speed Predictive models Wind power generation wind power forecasting Artificial neural network auto-regressive moving average fuzzy logic numeric weather prediction persistence method statistical methods wind speed forecasting
Content Type	Text
Resource Type	Article

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