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

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

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...

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Bibliographic Details
Main Authors: Manisha Sawant, Rupali Patil, Tanmay Shikhare, Shreyas Nagle, Sakshi Chavan, Shivang Negi, Neeraj Dhanraj Bokde
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
wind power prediction
machine learning
deep learning
hybrid methods
time series analysis
Online Access:https://www.mdpi.com/1996-1073/15/21/8107

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https://www.mdpi.com/1996-1073/15/21/8107

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