Skip-based combined prediction method for distributed photovoltaic power generation

Skip-based combined prediction method for distributed photovoltaic power generation

Distributed photovoltaics (PV) power generation forecasting plays an important role in ensuring the safety of power grid operation and nearby consumption. In order to enhance the accuracy of distributed PV power generation forecasting, we propose a meteorological feature extraction method and futher...

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Bibliographic Details
Main Authors: WU Minglang, PANG Zhenjiang, HONG Haimin, ZHAN Zhaowu, JIN Fei, TANG Yuanyang, YE Xuan
Format: Article
Language:English
Published: Science Press (China Science Publishing & Media Ltd.) 2024-05-01
Series:Shenzhen Daxue xuebao. Ligong ban
Subjects:
artificial intelegient
solar energy
feature extraction
skip-connect
random forest
tabnet
extreme gradient boosting
power prediction
Online Access:https://journal.szu.edu.cn/en/#/digest?ArticleID=2617
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https://journal.szu.edu.cn/en/#/digest?ArticleID=2617

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