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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2026-03-01
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| Rangatū: | Energies |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/1996-1073/19/6/1520 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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