SaurKshetra: A Dataset for Solar Farms Potential Site Mapping using Suitability parameters in India
Abstract
This dataset tests the hypothesis that long-term reanalysis of environmental and solar irradiance variables can reliably indicate relative solar energy potential across India in the absence of dense ground measurements. Final Dataset.xlsx (Jan 2013–Dec 2022) contains sitewise time series of solar irradiance, air temperature, cloud cover, albedo, precipitation, latitude, longitude and timestamp, all extracted from NASA POWER, temporally aligned, unit-standardized, and cleaned for missing values. Exploratory analysis shows clear seasonal and regional patterns (monsoon-driven drops in irradiance, latitudinal gradients) useful for comparing sites and assessing inter-annual variability. Use the data for geospatial site screening, clustering, ML-based suitability or predictive models — treat values as indicative (regional/relative) and validate site-level conclusions with in-situ measurements where possible.
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 6 January 2026
- Document type
- Dataset