Short-term power prediction for renewable energy using hybrid graph convolutional network and long short-term memory approach

被引：0
|
作者：
Liao, Wenlong [1 ]
Bak-Jensen, Birgitte [1 ]
Pillai, Jayakrishnan Radhakrishna [1 ]
Yang, Zhe [1 ]
Liu, Kuangpu [1 ]
机构：
[1] Aau Energy, Aalborg University, Aalborg, Denmark
来源：
arXiv | 2021年
关键词：
Convolutional networks - Deep learning - Dynamic changes - Graph convolutional network - Hybrid graphs - Learn+ - Power predictions - Renewable energies - Renewable energy using - Spatiotemporal correlation;
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