A Two-Stage Generative Architecture for Renewable Scenario Generation Based on Temporal Scenario Representation and Diffusion Models

A Two-Stage Generative Architecture for Renewable Scenario Generation Based on Temporal Scenario Representation and Diffusion Models

Scenario generation proves to be an effective approach for addressing uncertainties in stochastic programming for power systems with integrated renewable resources. In recent years, numerous studies have explored the application of deep generative models to scenario generation. Considering the chall...

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Bibliographic Details
Main Authors: Chenglong Xu, Peidong Xu, Yuxin Dai, Shi Su, Luxi Zhang, Jun Zhang, Yuyang Bai, Tianlu Gao, Qingyang Xie, Lei Shang, Wenzhong Gao
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Energies
Subjects:
renewable resource
generative model
diffusion models
scenario generation
scenario representation
Online Access:https://www.mdpi.com/1996-1073/18/5/1275

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https://www.mdpi.com/1996-1073/18/5/1275

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