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Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features
Renewable Energy and Energy Storage | 更新时间：2025-08-05

    • Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features

    • “The latest research proposes a solar irradiance prediction model that integrates time convolutional networks and Informer structures, effectively improving prediction accuracy and providing data support for photovoltaic resource assessment and power plant layout optimization.”
    • Electric Power Construction   Vol. 46, Issue 7, Pages: 163-174(2025)

    • DOI：10.12204/j.issn.1000-7229.2025.07.013    

      CLC： TM714

    • Received：11 July 2024，

      Revised：2024-08-23，

      Published：01 July 2025

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  • RAO Zhi,YANG Zaimin,YANG Xiongping,et al.Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features[J].Electric Power Construction,2025,46(07):163-174. DOI： 10.12204/j.issn.1000-7229.2025.07.013.

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