ARTIFICIAL INTELLIGENCE FOR MAPPING AND PLANNING RENEWABLE ENERGY RESOURCES

Author(s)	Mr. Hitesh Kumar, Mr. Atul Kumar Mishra, Mr. Murugappaan Umapathi
Country	India
Abstract	This study explores the transformative role of Artificial Intelligence (AI) in mapping and planning renewable energy resources to promote sustainable energy transitions. With rising global energy demands and environmental challenges, AI technologies such as machine learning, deep learning, and neural networks are increasingly applied to analyze spatial, climatic, and geospatial datasets for accurate identification of renewable energy potential zones. By integrating AI with Geographic Information Systems (GIS), Remote Sensing (RS), and Internet of Things (IoT) data, energy planners can optimize site selection, predict energy output, and enhance resource allocation efficiency. AI-driven models facilitate data-driven decision-making, reduce uncertainties, and improve forecasting for solar, wind, and hybrid energy systems. The research emphasizes how AI contributes to sustainable development by enabling efficient energy mapping, minimizing environmental impacts, and supporting policy frameworks aimed at achieving global climate and clean energy goals.
Keywords	Artificial Intelligence (AI); Renewable Energy Mapping; Machine Learning; Sustainable Energy Planning
Field	Business Administration
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-11-25
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.61530
Short DOI	https://doi.org/hbcnvw

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