Day-ahead forecasting of regional photovoltaic production using deep learning-Reference-Cited by-同舟云学术

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Day-ahead forecasting of regional photovoltaic production using deep learning

Published:2020-06-14 Issue: Volume: Page:
ISSN:
Container-title:2020 47th IEEE Photovoltaic Specialists Conference (PVSC)
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Author:

Aillaud Pierre,Lequeux Jeremie,Mathe Johan,Huet Laurent,Lallemand Caroline,Liandrat Olivier,Sebastien Nicolas,Kurzrock Frederik,Schmutz Nicolas

Funder

European Regional Development Fund (ERDF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9300349/9300350/09300538.pdf?arnumber=9300538

Cited by 8 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. Probabilistic forecasting of regional solar power incorporating weather pattern diversity;Energy Reports;2024-06

2. Lightweight Photovoltaic Forecasting Method for Agricultural Microgrids;2023 14th International Conference on Electrical and Electronics Engineering (ELECO);2023-11-30

3. Photovoltaic Power Output Prediction Based on TabNet for Regional Distributed Photovoltaic Stations Group;Energies;2023-07-27

4. Prediction and aggregation of regional PV and wind generation based on neural computation and real measurements;Sustainable Energy Technologies and Assessments;2023-06

5. Short-term Forecasting Approach Based on bidirectional long short-term memory and convolutional neural network for Regional Photovoltaic Power Plants;Sustainable Energy, Grids and Networks;2023-06

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