Optimized use of local renewable resources in decentralized hybrid mode for sustainable energy solution of rural India

Abstract: The growing energy demand in rural India, coupled with challenges related to grid connectivity, necessitates the development of decentralized hybrid renewable energy solutions. This study explores the optimized utilization of local renewable resources such as solar, wind, biomass, and small hydro in a decentralized hybrid energy model. By integrating multiple renewable sources with advanced energy management systems, the proposed approach enhances reliability, efficiency, and sustainability. Optimization techniques, including artificial intelligence (AI)-based predictive models and IoT-enabled smart grids, are employed to balance supply and demand dynamically. The study highlights techno-economic feasibility, environmental benefits, and policy recommendations for effective implementation. Results demonstrate that a well-optimized hybrid model can significantly reduce reliance on fossil fuels, lower costs, and provide uninterrupted power to rural communities. This work contributes to India’s sustainable development goals by fostering energy security, economic growth, and environmental conservation. Keywords: Decentralized energy system, Hybrid renewable energy, Optimization techniques, Rural electrification, Solar-wind-biomass integration, IoT-enabled smart grid, AI-based energy management, Sustainable energy solutions, Techno-economic feasibility, Energy security