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Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy

Tiandong Ma Feng Li Renlong Gao Siyu Hu Wenwen Ma

Global Energy Interconnection2024，Vol.7Issue(6)：P.825-835,11.

Global Energy Interconnection2024，Vol.7Issue(6)：P.825-835,11.DOI:10.1016/j.gloei.2024.11.010

Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy

Tiandong Ma ¹Feng Li ¹Renlong Gao ¹Siyu Hu ²Wenwen Ma²

作者信息

1. State Grid Ningxia Electric Power Co.,Ltd,Yinchuan 750001,P.R.China
2. China Electric Power Research Institute,Nanjing 200003,P.R.China
折叠

摘要

关键词

Multi-layer PV power generation prediction model/Pre-training model/Parameter transfer

分类

信息技术与安全科学

引用本文复制引用

Tiandong Ma,Feng Li,Renlong Gao,Siyu Hu,Wenwen Ma..Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy[J].Global Energy Interconnection,2024,7(6):P.825-835,11.

基金项目

Science and Technology Project of State Grid Ningxia Electric Power Co.,Ltd Research on Distributed Photovoltaic Fine Power Prediction Technology for Day-Ahead Scheduling,5229NX230007. （）

Global Energy Interconnection

OAEI

ISSN：2096-5117

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