NDLI: Comparative study of stochastic wind speed prediction models

Content Provider	IEEE Xplore Digital Library
Author	Agrawal, A. Sandhu, K.S.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., NIT Kurukshetra, Kurukshetra, India (Agrawal, A.; Sandhu, K.S.)
Abstract	Global weather concerns have diverted the researchers to look out for clean and green energy sources. The wind power has been utilized since old days for applications such as pumping water, grain grinding mills, driving ships, etc. However, due to its uneven nature, wind energy has never been a choice of power engineers. With the inherent variability of wind due to fluctuating weather conditions, wind speed prediction techniques play a vital role in determining the feasibility of esteemed wind power projects. Modern weather forecasting involves a combination of analyzed data, computer models, knowledge of trends and patterns. In this paper various short-term statistical wind speed forecasting techniques have been analyzed and focused upon.
Starting Page	1
Ending Page	6
File Size	525711
Page Count	6
File Format	PDF
ISBN	9781479960453
e-ISBN	9781479960460
DOI	10.1109/IICPE.2014.7115784
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Numerical Weather Prediction(NWP) Time series analysis Predictive models Auto-regressive Moving average(ARMA) Mortimer method Artificial Neural Network(ANN) Wind forecasting Markov chain Wind speed Wavelet transformation Polynomial Curve Fitting(PCF) Polynomials Variance ratio(VR) method Autoregressive processes
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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