Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
image
End of preview. Expand in Data Studio

Information

The Photon Energy Sky Camera dataset is designed to advance research in forecasting irradiance based on data from sky cameras. It includes data from multiple locations, covering sky images and measured irradiance and temperature. The dataset was collected from locations in Czech Republic (Eastern Europe) and is provided as image of sky with corresponding sensor data in text (JSON) format.

Acknowledgments

The data was gathered during a project “Opracowanie narzędzi do predykcji generacji energii elektrycznej z instalacji fotowoltaicznych oraz optymalizacji procesów bilansowania energii elektrycznej pochodzącej z OZE w ramach wirtualnej elektrowni” (project POIR.01.01.01-00-0225/22-00) funded by The National Centre for Research and Development.

Licensing

This work is licensed under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).

Details

Data format

└── YYYY_MM/                                                      ← month folder
    └── YYYY_MM_DD/                                           ← day folder
        ├── images/
        │   ├── 400/                     
        │   │   └── HH_MM_SS_XXXXXX.jpg            ← image data
        └── readings/
            └── HH_MM_SS_XXXXXX.json                 ← paired by timestamp with the image

Each JSON file contains information about temperature and irradiance in the following format:

{
    "irradiance_scaling_factor": 100, 
    "temperature_scaling_factor": 100,
    "irradiance_value": 1.5499999523162842,
     "temperature_value": 11.75
}

Data cleaning

Due to size limitations the data is provided in 5 minute intervals in raw format; no cleaning or preprocessing has been applied.

Data gathering procedure

The data was collected using custom build smart cameras and a dedicated, industry-grade irradiance sensor. Gathered images and sensor readings were periodically saved to a cloud database.

Downloads last month
-