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Enhancing photovoltaic power prediction using a CNN-LSTM-attention hybrid model with Bayesian hyperparameter optimization

Ning Zhou Bowen Shang Mingming Xu Lei Peng Yafei Zhang

Global Energy Interconnection2024,Vol.7Issue(5):P.667-681,15.
Global Energy Interconnection2024,Vol.7Issue(5):P.667-681,15.

Enhancing photovoltaic power prediction using a CNN-LSTM-attention hybrid model with Bayesian hyperparameter optimization

Ning Zhou 1Bowen Shang 1Mingming Xu 1Lei Peng 2Yafei Zhang1

作者信息

  • 1. State Grid Henan Electric Power Research Institute,Zhengzhou,450052,P.R.China
  • 2. State Grid Henan Electric Power Corporation,Zhengzhou,450052,P.R.China
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摘要

关键词

Photovoltaic power prediction/CNN-LSTM-Attention/Bayesian optimization

分类

信息技术与安全科学

引用本文复制引用

Ning Zhou,Bowen Shang,Mingming Xu,Lei Peng,Yafei Zhang..Enhancing photovoltaic power prediction using a CNN-LSTM-attention hybrid model with Bayesian hyperparameter optimization[J].Global Energy Interconnection,2024,7(5):P.667-681,15.

基金项目

supported by the State Grid Science&Technology Project(5400-202224153A-1-1-ZN). (5400-202224153A-1-1-ZN)

Global Energy Interconnection

OAEI

2096-5117

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