Preserving Normal Power Curve Data with Sparse Density via Wind Speed-Power Correlation Trend Cleaning Method

IF 8.6 1区工程技术 Q1 ENERGY & FUELS

IEEE Transactions on Sustainable Energy Pub Date : 2024-09-11 DOI:10.1109/tste.2024.3459005

Hongrui Li, shuangxin Wang, Jiading Jiang, Jun Liu, Junmei Ou, Ziang Zhou

引用次数: 0

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通过风速-功率相关性趋势清理法保存具有稀疏密度的正态功率曲线数据

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.