Analysis and Prospect of Wind Power Forecasting Methods from Multiple Perspectives

As one of the typical clean energy sources, the power prediction of wind power is crucial for power system scheduling, stability maintenance, and market trading. However, due to the intermittency and uncertainty of wind energy, wind power prediction faces many challenges. This paper overviews the basic concepts and application scenarios of wind power prediction, and systematically analyzes the methods that currently exist for wind power forecasting. Furthermore, this paper summarizes the key factors which affect the prediction accuracy, such as wind speed variations, unit characteristics, meteorological data quality, and geographic environment. In addition, this paper also introduces the commonly used error and reliability assessment metrics. Finally, the future research direction of wind power prediction is discussed the references for research in related fields are also provided.

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Publication Details

Journal
International Journal of Network Dynamics and Intelligence
Published
2025-11-21
DOI
https://doi.org/10.53941/ijndi.2025.100024
Primary Topic
Energy Load and Power Forecasting
Type
article
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article

Analysis and Prospect of Wind Power Forecasting Methods from Multiple Perspectives

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International Journal of Network Dynamics and Intelligence
Energy Load and Power Forecasting
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Analysis and Prospect of Wind Power Forecasting Methods from Multiple Perspectives

Daogang Peng, Bogang Qu, Zhixian Wang, Nan Li, Jie Liu, Eryong Wu
article en

Abstract

As one of the typical clean energy sources, the power prediction of wind power is crucial for power system scheduling, stability maintenance, and market trading. However, due to the intermittency and uncertainty of wind energy, wind power prediction faces many challenges. This paper overviews the basic concepts and application scenarios of wind power prediction, and systematically analyzes the methods that currently exist for wind power forecasting. Furthermore, this paper summarizes the key factors which affect the prediction accuracy, such as wind speed variations, unit characteristics, meteorological data quality, and geographic environment. In addition, this paper also introduces the commonly used error and reliability assessment metrics. Finally, the future research direction of wind power prediction is discussed the references for research in related fields are also provided.

International Journal of Network Dynamics and IntelligenceVol. 4(4)
Openalex Percentile: Top 65%
Energy Load and Power Forecasting
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