Girasol, a Sky Imaging and Global Solar Irradiance Dataset
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Abstract (arXiv)
The energy available in Micro Grid (MG) that is powered by solar energy is tightly related to the weather conditions in the moment of generation. Very short-term forecast of solar irradiance provides the MG with the capability of automatically controlling the dispatch of energy. We propose to achieve this using a data acquisition systems (DAQ) that simultaneously records sky imaging and Global Solar Irradiance (GSI) measurements, with the objective of extracting features from clouds and use them to forecast the power produced by a Photovoltaic (PV) system. The DAQ system is nicknamed as the Girasol Machine (Girasol means Sunflower in Spanish). The sky imaging system consists of a longwave infrared (IR) camera and a visible (VI) light camera with a fisheye lens attached to it. The cameras are installed inside a weatherproof enclosure that it is mounted on an outdoor tracker. The tracker updates its pan an tilt every second using a solar position algorithm to maintain the Sun in the center of the IR and VI images. A pyranometer is situated on a horizontal support next to the DAQ system to measure GSI. The dataset, composed of IR images, VI images, GSI measurements, and the Sun's positions, has been tagged with timestamps.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Feb 2021.
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Citing papers per year: 2021: 1; 2022: 3.
4 papers.
- 2022SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecastingcited by 11
- 2022Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?cited by 2
- 2022Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Surveycited by 2
- 2021Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extractioncited by 0
- 2022Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey27 Nov 2022
- 2022Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?3 Nov 2022
- 2022SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting2 Jul 2022
- 2021Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction11 Oct 2021