Prediction Error-Based Power Forecasting of Wind Energy System Using Hybrid WT–ROPSO–NARMAX Model

Prediction Error-Based Power Forecasting of Wind Energy System Using Hybrid WT–ROPSO–NARMAX Model

The volatility and intermittency of wind energy result in highly unpredictable wind power output, which poses challenges to the stability of the intact power system when integrating large-scale wind power. The accuracy of wind power prediction is critical for maximizing the utilization of wind energ...

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Bibliographic Details
Main Authors: Aamer A. Shah, Almani A. Aftab, Xueshan Han, Mazhar Hussain Baloch, Mohamed Shaik Honnurvali, Sohaib Tahir Chauhdary
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Energies
Subjects:
wind power generation
short-term forecasting
artificial neural network (ANN)
power forecasting
Shenyang offshore wind power
Online Access:https://www.mdpi.com/1996-1073/16/7/3295

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