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

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

[Objective] To improve the accuracy of global horizontal irradiance （GHI） prediction and completely explore its application value in solar energy resource assessments， such as photovoltaic site selection， this study proposes a GHI prediction model that integrates the temporal convolutional network （...

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Bibliographic Details
Main Author: RAO Zhi, YANG Zaimin, YANG Xiongping, LI Jiaming, YANG Ping, WEI Zhichu
Format: Article
Language:zho
Published: Editorial Department of Electric Power Construction 2025-07-01
Series:Dianli jianshe
Subjects:
global horizontal irradiance prediction|site selection of photovoltaic power stations|environmental features|geographic features|model of temporal convolutional network （tcn）|model of informer
Online Access:https://www.cepc.com.cn/fileup/1000-7229/PDF/1750819589988-883631943.pdf
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