NDLI: On error measures in wind forecasting evaluations

Content Provider	IEEE Xplore Digital Library
Author	Shaker, H. Zareipour, H. Wood, D.
Copyright Year	2013
Abstract	Wind power is utilized as an environmentally friendly source of bulk electricity. However, large variations of wind speed and subsequently wind power, makes large-scale wind power integration into the grid challenging. Forecasting wind power generation is one of the methods to cope with this issue. Hence, a large variety of different forecasting models are developed in the literature. Since all of forecasts have inherent errors, the procedure of error assessment of forecasting models is important. In this paper, we discuss recent wind forecasting works with a focus on their error assessment criteria. A review of the literature is provided and most common error measures are studied.
Starting Page	1
Ending Page	6
File Size	264888
Page Count	6
File Format	PDF
ISBN	9781479900312
ISSN	08407789
e-ISBN	9781479900336
e-ISBN	9781479900329
DOI	10.1109/CCECE.2013.6567687
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind forecasting Forecasting Wind power generation Measurement uncertainty Wind speed Predictive models Biological system modeling wind power forecasting Forecasting error measures timing error
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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