Distributed Photovoltaic Distribution Voltage Prediction Based on eXtreme Gradient Boosting and Time Convolutional Networks

Distributed Photovoltaic Distribution Voltage Prediction Based on eXtreme Gradient Boosting and Time Convolutional Networks

The current distribution voltage prediction methods have low accuracy and cannot realize more efficient system power allocation. To address this, the study proposes a distributed photovoltaic distribution voltage prediction model based on gradient boosting tree and time convolutional network. The mo...

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Bibliographic Details
Main Authors: Fang Yuan, Yong Lu, Zhi Xie, Shenxiang Dai
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
XGBoost
TCN
N-BEATS
SSA
voltage prediction
distributed photovoltaics
Online Access:https://ieeexplore.ieee.org/document/10758656/
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https://ieeexplore.ieee.org/document/10758656/

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