Short-Term Photovoltaic Power Combined Prediction Based on Feature Screening and Weight Optimization

Short-Term Photovoltaic Power Combined Prediction Based on Feature Screening and Weight Optimization

Aiming at the problem of low prediction accuracy caused by the intermittent and fluctuating characteristics of photovoltaic power, a short-term photovoltaic power combined prediction method based on feature screening and weight optimization is proposed. Firstly, K-means is used to cluster the photov...

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Bibliographic Details
Main Authors: Liqing Geng, Yadong Yang, Genghuang Yang, Yongfeng Zheng, Xiaocong Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Photovoltaic power prediction
similar day clustering
data reconstruction
feature screening
combination prediction
weight optimization
Online Access:https://ieeexplore.ieee.org/document/11062645/
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https://ieeexplore.ieee.org/document/11062645/

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