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.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Management of Technology and Innovation,General Engineering
Cited by
1 articles.
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1. Recurrent Neural Network for Chaotic Wind Speed Time Series Prediction;2023 9th IEEE India International Conference on Power Electronics (IICPE);2023-11-28