An advanced generative deep learning framework for probabilistic spatio-temporal wind power forecasting
This paper presents a deep generative model for capturing the conditional probability distribution of future wind power given its history by modeling and pattern recognition in a dynamic graph. The dynamic nodes show the wind sites while the dynamic edges reflect the correlation between the nodes. W...
| Autor principal: | |
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| Outros Autores: | , , , , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2022
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/11328/3920 |
| País: | Portugal |
| Oai: | oai:repositorio.uportu.pt:11328/3920 |