Estimating Solar Irradiance Using Sky Imagers
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Abstract (arXiv)
Ground-based whole sky cameras are extensively used for localized monitoring of clouds nowadays. They capture hemispherical images of the sky at regular intervals using a fisheye lens. In this paper, we propose a framework for estimating solar irradiance from pictures taken by those imagers. Unlike pyranometers, such 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 forecasting of solar energy generation based on cloud movement. We derive and validate our model using pyranometers co-located with our whole sky imagers. We achieve a better performance in estimating solar irradiance and in particular its short-term variations as compared to other related methods using ground-based observations.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Oct 2019.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 3.
4 papers.
- 2025UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentationcited by 5
- 2022A semantic web approach to uplift decentralized household energy datacited by 1
- 2025SPIRIT: Short-term Prediction of solar IRradIance for zero-shot Transfer learning using Foundation Modelscited by 1
- 2025Segregation and Context Aggregation Network for Real-time Cloud Segmentationcited by 0
- 2025Segregation and Context Aggregation Network for Real-time Cloud Segmentation19 Apr 2025
- 2025SPIRIT: Short-term Prediction of solar IRradIance for zero-shot Transfer learning using Foundation Models14 Feb 2025
- 2025UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation11 Jan 2025
- 2022A semantic web approach to uplift decentralized household energy data18 Aug 2022