Related Experiment Video
Updated: Jun 16, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
Published on: October 11, 2016
SaurKshetra: A curated dataset and ML-based classification for solar energy site selection
Yash Shivgan1, Chandan Bhirud1, Anshul Jamgade1
1Vishwakarma Institute of Information Technology, Kondhwa Budruk, Pune, India.
None:
The global demand for clean energy is on the rise and the best solar power sites among various regions need to be identified. India has the potential to become an important source for solar energy due to its vast and diverse geographical area, however, site selection based on accurate data is necessary for the effective utilization. The present research work has provided a geospatial dataset of monthly environmental variables-such as global horizontal irradiance, clear-sky irradiance, surface albedo, cloud cover, temperature at 2 m, dew point, and precipitation-acquired at 371 sites in India from January 2013 to December 2022. The data is divided into five regional zones-North, East, West, Central, and South- and is available in XLSX format for ease of mapping and analytical workflows. A weighted scoring method is used for the selected variables to sort the sunniest spots into five categories of suitability ranging from Excellent to Unsuitable. K-means clustering helps in categorizing locations based on their solar power potential, whereas a Random Forest model fine-tunes the classification into the designated suitability classes. The spatial maps and rankings generated, thus, provide a detailed summary of the solar energy potential throughout India. Besides, all datasets and classification outputs have been made available for free on Mendeley Data (DOI: 10.17632/hkcyvhvmwp.5) as a ready-to-use resource for researchers, planners, and policymakers.
Related Concept Videos
Classification of Systems-I
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Classification of Systems-II
Maxwell-Boltzmann Distribution: Problem Solving
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
Temperature Measurement Sites
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
Light Acquisition
Aggregates Classification
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...