Long‐term scenario generation of renewable energy generation using attention‐based conditional generative adversarial networks

Long‐term scenario generation of renewable energy generation using attention‐based conditional generative adversarial networks

Abstract Long‐term scenario generation of renewable energy is regarded as an important part of the optimal planning of renewable energy systems. This study proposes a scenario generation method for generating long‐term correlated scenarios of wind and photovoltaic outputs from historical renewable e...

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Bibliographic Details
Main Authors: Hui Li, Haoyang Yu, Zhongjian Liu, Fan Li, Xiong Wu, Binrui Cao, Cheng Zhang, Dong Liu
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Energy Conversion and Economics
Subjects:
attention mechanism
conditional generative adversarial network
scenario generation
Online Access:https://doi.org/10.1049/enc2.12106

Internet

https://doi.org/10.1049/enc2.12106

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