Causal Mechanism-Enabled Zero-Label Learning for Power Generation Forecasting of Newly-Built PV Sites

IF 8.6 1区工程技术 Q1 ENERGY & FUELS

IEEE Transactions on Sustainable Energy Pub Date : 2024-09-12 DOI:10.1109/tste.2024.3459415

Pengfei Zhao, Weihao Hu, Di Cao, Rui Huang, Xiawei Wu, Qi Huang, Zhe Chen

引用次数: 0

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基于因果机制的零标签学习用于新建光伏发电站的发电量预测

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Sustainable Energy ENERGY & FUELS-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

21.40

自引率

5.70%

发文量

215

审稿时长

5 months

期刊介绍： The IEEE Transactions on Sustainable Energy serves as a pivotal platform for sharing groundbreaking research findings on sustainable energy systems, with a focus on their seamless integration into power transmission and/or distribution grids. The journal showcases original research spanning the design, implementation, grid-integration, and control of sustainable energy technologies and systems. Additionally, the Transactions warmly welcomes manuscripts addressing the design, implementation, and evaluation of power systems influenced by sustainable energy systems and devices.