Articles | Volume 12, issue 10
https://doi.org/10.5194/amt-12-5417-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-5417-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Oct 2019
Research article |
| 10 Oct 2019
| 10 Oct 2019
Estimating solar irradiance using sky imagers
Soumyabrata Dev
ADAPT SFI Research Centre, Dublin, Ireland
School of Computer Science, University College Dublin, Ireland
Florian M. Savoy
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana–Champaign, Singapore 138632, Singapore
Yee Hui Lee
School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore 639798, Singapore
Stefan Winkler
CORRESPONDING AUTHOR
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana–Champaign, Singapore 138632, Singapore
School of Computing, National University of Singapore (NUS), Singapore 117417, Singapore
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Cited
24 citations as recorded by crossref.
- Blending of a novel all sky imager model with persistence and a satellite based model for high-resolution irradiance nowcasting N. Straub et al. 10.1016/j.solener.2024.112319
- Holistic and Lightweight Approach for Solar Irradiance Forecasting M. Jain et al. 10.1109/TGRS.2024.3415413
- LAMSkyCam: A low-cost and miniature ground-based sky camera M. Jain et al. 10.1016/j.ohx.2022.e00346
- BSANet: A Bilateral Segregation and Aggregation Network for real-time cloud segmentation Y. Li et al. 10.1016/j.rsase.2025.101536
- Spectral and RGB analysis of the light climate and its ecological impacts using an all-sky camera system in the Arctic S. Grant et al. 10.1364/AO.480454
- Generative neural network models for synthetic solar irradiance sequences R. Lajić et al. 10.1063/5.0219923
- SGRR: A two-stage method for removing raindrops from ground-based sky maps Y. Zhang et al. 10.1063/5.0244467
- Cloud Classification of Ground-based Cloud Images based on Convolutional Neural Network T. Zhu et al. 10.1088/1742-6596/2035/1/012020
- Anomaly detection in all-sky images: An approach using robust ensemble modeling of cloud cover fraction and prediction bounds V. Rocha et al. 10.1016/j.engappai.2025.110003
- Evaluating the cloud effect on solar irradiation by three-dimensional cloud information H. Zuo et al. 10.1016/j.solener.2024.112489
- Impacts of canopy structure on the sub-canopy solar radiation under a deciduous forest based on fisheye photographs Y. Zhang et al. 10.1016/j.rcar.2023.06.005
- Estimation of solar irradiance and solar power based on all-sky images T. Chu et al. 10.1016/j.solener.2022.11.031
- Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant J. Alonso-Montesinos et al. 10.3390/rs14071602
- Estimation and Mapping of Solar Irradiance for Korea by Using COMS MI Satellite Images and an Artificial Neural Network Model Y. Koo et al. 10.3390/en13020301
- Analyzing image deblurring algorithms for ground-based sky cameras N. Jain et al. 10.1016/j.rsase.2022.100813
- Aerosol Optical Properties and Type Retrieval via Machine Learning and an All-Sky Imager S. Logothetis et al. 10.3390/atmos14081266
- Estimation of Solar Irradiance Under Cloudy Weather Based on Solar Radiation Model and Ground-Based Cloud Image Y. Niu et al. 10.3390/en18030757
- Air quality in the New Delhi metropolis under COVID-19 lockdown D. Kaloni et al. 10.1016/j.sasc.2022.200035
- Dataset for Machine Learning: Explicit All-Sky Image Features to Enhance Solar Irradiance Prediction J. Maciel et al. 10.3390/data9100113
- A photovoltaic power estimation model based on the improved local cloud occlusion index algorithm considering Sun block luminance D. Yin et al. 10.1088/1361-6501/ad98b0
- Measurement of diffuse and plane of array irradiance by a combination of a pyranometer and an all-sky imager N. Blum et al. 10.1016/j.solener.2021.11.064
- A semantic web approach to uplift decentralized household energy data J. Wu et al. 10.1016/j.segan.2022.100891
- Estimating solar irradiance using sky imagers S. Dev et al. 10.5194/amt-12-5417-2019
- Systematic review of nowcasting approaches for solar energy production based upon ground-based cloud imaging B. Juncklaus Martins et al. 10.1016/j.seja.2022.100019
22 citations as recorded by crossref.
- Blending of a novel all sky imager model with persistence and a satellite based model for high-resolution irradiance nowcasting N. Straub et al. 10.1016/j.solener.2024.112319
- Holistic and Lightweight Approach for Solar Irradiance Forecasting M. Jain et al. 10.1109/TGRS.2024.3415413
- LAMSkyCam: A low-cost and miniature ground-based sky camera M. Jain et al. 10.1016/j.ohx.2022.e00346
- BSANet: A Bilateral Segregation and Aggregation Network for real-time cloud segmentation Y. Li et al. 10.1016/j.rsase.2025.101536
- Spectral and RGB analysis of the light climate and its ecological impacts using an all-sky camera system in the Arctic S. Grant et al. 10.1364/AO.480454
- Generative neural network models for synthetic solar irradiance sequences R. Lajić et al. 10.1063/5.0219923
- SGRR: A two-stage method for removing raindrops from ground-based sky maps Y. Zhang et al. 10.1063/5.0244467
- Cloud Classification of Ground-based Cloud Images based on Convolutional Neural Network T. Zhu et al. 10.1088/1742-6596/2035/1/012020
- Anomaly detection in all-sky images: An approach using robust ensemble modeling of cloud cover fraction and prediction bounds V. Rocha et al. 10.1016/j.engappai.2025.110003
- Evaluating the cloud effect on solar irradiation by three-dimensional cloud information H. Zuo et al. 10.1016/j.solener.2024.112489
- Impacts of canopy structure on the sub-canopy solar radiation under a deciduous forest based on fisheye photographs Y. Zhang et al. 10.1016/j.rcar.2023.06.005
- Estimation of solar irradiance and solar power based on all-sky images T. Chu et al. 10.1016/j.solener.2022.11.031
- Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant J. Alonso-Montesinos et al. 10.3390/rs14071602
- Estimation and Mapping of Solar Irradiance for Korea by Using COMS MI Satellite Images and an Artificial Neural Network Model Y. Koo et al. 10.3390/en13020301
- Analyzing image deblurring algorithms for ground-based sky cameras N. Jain et al. 10.1016/j.rsase.2022.100813
- Aerosol Optical Properties and Type Retrieval via Machine Learning and an All-Sky Imager S. Logothetis et al. 10.3390/atmos14081266
- Estimation of Solar Irradiance Under Cloudy Weather Based on Solar Radiation Model and Ground-Based Cloud Image Y. Niu et al. 10.3390/en18030757
- Air quality in the New Delhi metropolis under COVID-19 lockdown D. Kaloni et al. 10.1016/j.sasc.2022.200035
- Dataset for Machine Learning: Explicit All-Sky Image Features to Enhance Solar Irradiance Prediction J. Maciel et al. 10.3390/data9100113
- A photovoltaic power estimation model based on the improved local cloud occlusion index algorithm considering Sun block luminance D. Yin et al. 10.1088/1361-6501/ad98b0
- Measurement of diffuse and plane of array irradiance by a combination of a pyranometer and an all-sky imager N. Blum et al. 10.1016/j.solener.2021.11.064
- A semantic web approach to uplift decentralized household energy data J. Wu et al. 10.1016/j.segan.2022.100891
Latest update: 23 Apr 2025
Short summary
Ground-based whole-sky cameras are now extensively used for the localized monitoring of clouds. In this paper, we derive a model for estimating solar irradiance using the pictures taken by those imagers. Unlike pyranometers, these sky images contain information about cloud coverage and can be used to derive cloud movement. An accurate estimation of solar irradiance using solely those images is thus a first step towards short-term solar energy generation forecasting.
Ground-based whole-sky cameras are now extensively used for the localized monitoring of clouds....
