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A Selective Review on Recent Advancements in Long, Short and Ultra-Short-Term Wind Power Prediction.

Authors :
Sawant, Manisha
Patil, Rupali
Shikhare, Tanmay
Nagle, Shreyas
Chavan, Sakshi
Negi, Shivang
Bokde, Neeraj Dhanraj
Source :
Energies (19961073); Nov2022, Vol. 15 Issue 21, p8107, 24p
Publication Year :
2022

Abstract

With large penetration of wind power into power grids, the accurate prediction of wind power generation is becoming extremely important. Planning, scheduling, maintenance, trading and smooth operations all depend on the accuracy of the prediction. However due to the highly non-stationary and chaotic behaviour of wind, accurate forecasting of wind power for different intervals of time becomes more challenging. Forecasting of wind power generation over different time spans is essential for different applications of wind energy. Recent development in this research field displays a wide spectrum of wind power prediction methods covering different prediction horizons. A detailed review of recent research achievements, performance, and information about possible future scope is presented in this article. This paper systematically reviews long term, short term and ultra short term wind power prediction methods. Each category of forecasting methods is further classified into four subclasses and a comparative analysis is presented. This study also provides discussions of recent development trends, performance analysis and future recommendations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19961073
Volume :
15
Issue :
21
Database :
Complementary Index
Journal :
Energies (19961073)
Publication Type :
Academic Journal
Accession number :
160146771
Full Text :
https://doi.org/10.3390/en15218107