A review of distributed solar forecasting with remote sensing and deep learning-Reference-Cited by-同舟云学术

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A review of distributed solar forecasting with remote sensing and deep learning

Published:2024-07 Issue: Volume:198 Page:114391
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Chu Yinghao^ORCID,Wang Yiling,Yang Dazhi^ORCID,Chen Shanlin^ORCID,Li Mengying^ORCID

Funder

University Grants Committee

Research Grants Council, University Grants Committee

European Organization for the Exploitation of Meteorological Satellites

City University of Hong Kong

Publisher

Elsevier BV

Reference179 articles.

1. Net zero by 2050: a roadmap for the global energy sector;Bouckaert,2021

2. A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality;Yang;Renew Sustain Energy Rev,2022

3. Solar forecasting methods for renewable energy integration;Inman;Prog Energy Combust Sci,2013

4. Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources;Widén;Renew Sustain Energy Rev,2015

5. A concise overview on solar resource assessment and forecasting;Yang;Adv Atmos Sci,2022

Cited by 2 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. Self-attention mechanism to enhance the generalizability of data-driven time-series prediction: A case study of intra-hour power forecasting of urban distributed photovoltaic systems;Applied Energy;2024-11

2. Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California;Energies;2024-07-21

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