A Spatial-Clustering Conditional Variational Auto-Encoder Framework for High-Dimensional Scenario Generation of Large-Scale Multi-Site Hybrid Energy Systems
Quantifying the complex spatial–temporal correlations and generating representative high-dimensional coupled scenario sets are essential for the robust planning and risk assessment of large-scale hybrid energy systems (HESs). Although numerous models have been developed for this purpose, as the numb...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2026-03-01
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| coleção: | Energies |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1996-1073/19/6/1520 |
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