Multi-step short-term wind power prediction based on spatio-temporal graph convolutional networks

被引：0
|
作者：
Liu, Zheng [1 ]
Xiao, SiYuan [1 ]
Liu, Hongliang [1 ]
机构：
[1] Xiangtan University, College of Automation and Electronic Information Engineering, XiangTan, China
来源：
2023 6th International Conference on Renewable Energy and Power Engineering, REPE 2023 | 2023年
关键词：
Engineering Village;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Adjacency matrix - Convolutional networks - Deep learning - Multisteps - Prediction-based - Short-Term wind power predictions - Spatio-temporal graphs - Wind power forecasting - Wind power modeling - Wind power predictions
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页码：352 / 357
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