利用序列分解和时空图神经网络进行长期风电预测

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

International Journal of Green Energy Pub Date : 2024-07-29 DOI:10.1080/15435075.2024.2382351

Yujie Yang, Junhong Chen, Wenbin Zheng, Fan Zhang

引用次数: 0

摘要

电网的稳定运行需要准确预测风力发电量，并通过整合其他能源来稳定其波动。越来越多的风力发电厂和风力发电站都在使用风能。

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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Long-term wind power forecasting with series decomposition and spatio-temporal graph neural network

The stable operation of the power grid requires accurate predictions of wind power generation and the stabilization of its fluctuations through the integration of other energy sources. An increasin...

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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.