A Research on Wind Power Forecasting Techniques
Sanju Saini1, Muskaan Ahuja2
1Dr. Sanju Saini, Department of Electrical Engineering, DCRUST, Murthal (Haryana), India.
2Muskaan Ahuja, Department of Electrical Engineering, DCRUST, Murthal (Haryana), India.
Manuscript received on 22 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 578-580 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B11050882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1105.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wind Power forecasting has an important contribution towards power system planning, operation, real time balancing and reliable wind power integration (large scale). Accurate forecasting of wind is of concern due to the uncontrollability and randomness of wind power. Various forecasting models (physical, statistical, historical and intelligent models) associated with wind power and wind speeds are briefly reviewed in this paper. Mainly, this review paper briefly explain the need of wind power/speed forecasting and make a brief review of all techniques used.
Keywords: Wind Power Forecasting, Numerical Weather Prediction, Statistical Models Persistence Models, Machine Learning Models, Hybrid Models, Multistep Ahead Forecasting.
Scope of the Article: Wireless Power Transmission