Short-term wind speed forecasts through hybrid model based on improved variational mode decomposition

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

International Journal of Green Energy Pub Date : 2024-02-02 DOI:10.1080/15435075.2023.2301399

Dai Yiyan, Zhang Mingjin, Xin Xu, Chen Xiaohu, Li Yongle, Liu Maoyi

引用次数: 0

Abstract

Scientific and accurate wind predictions are the basis for exploiting and utilizing wind energy. Combining the VMD and KELM, this research proposes a new hybrid model to capture the pattern of wind...

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通过基于改进变模分解的混合模型进行短期风速预报

科学准确的风力预测是开发和利用风能的基础。结合 VMD 和 KELM，这项研究提出了一种新的混合模型，以捕捉风的模式和风的能量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Green Energy 工程技术-能源与燃料

CiteScore

6.60

自引率

9.10%

发文量

112

审稿时长

3.7 months

期刊介绍： International Journal of Green Energy shares multidisciplinary research results in the fields of energy research, energy conversion, energy management, and energy conservation, with a particular interest in advanced, environmentally friendly energy technologies. We publish research that focuses on the forms and utilizations of energy that have no, minimal, or reduced impact on environment, economy and society.