Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning-Reference-Cited by-同舟云学术

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Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning

Published:2024-09 Issue: Volume:369 Page:123467
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Nie Yuhao^ORCID,Paletta Quentin^ORCID,Scott Andea,Pomares Luis Martin^ORCID,Arbod Guillaume^ORCID,Sgouridis Sgouris,Lasenby Joan,Brandt Adam

Publisher

Elsevier BV

Reference70 articles.

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2. Resampling and data augmentation for short-term PV output prediction based on an imbalanced sky images dataset using convolutional neural networks;Nie;Sol Energy,2021

3. Moreno-Munoz A, de la Rosa JJG, Posadillo R, Bellido F. Very short term forecasting of solar radiation. In: 2008 33rd IEEE photovoltaic specialists conference. 2008, p. 1–5. http://dx.doi.org/10.1109/PVSC.2008.4922587.

4. Predicting solar radiation at high resolutions: A comparison of time series forecasts;Reikard;Sol Energy,2009

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

Cited by 1 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. A radiant shift: Attention-embedded CNNs for accurate solar irradiance forecasting and prediction from sky images;Renewable Energy;2024-11

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