A Hybrid Photovoltaic Power Prediction Model Based on Multi-source Data Fusion and Deep Learning

Author:

Si Zhiyuan,Yang Ming,Yu Yixiao,Ding Tingting,Li Menglin

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning Models in Photovoltaic Power Forecasting: A Review;2024 1st International Conference on Smart Energy Systems and Artificial Intelligence (SESAI);2024-06-03

2. Improving cross-site generalisability of vision-based solar forecasting models with physics-informed transfer learning;Energy Conversion and Management;2024-06

3. Multi-Source and Multi-Powered Smart Grid Prediction Using Deep Learning;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

4. Distributed Photovoltaic Power Generation Prediction Based on Feature Extraction and Multi-model Fusion;Lecture Notes in Computer Science;2024

5. PV Power Prediction Based on XGBoost Algorithm;2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT);2023-10-11

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