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

引用

页码：352 / 357

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