• Dr SambasivaRao Baragada
• Dr K Padmvati

This research presents a comprehensive feasibility study for establishing a solar- powered four-wheeler charging station on a one-acre plot of land located between Jedcherla and Kurnool Highway in Telangana, India. The study evaluates the capacity of the proposed charging station, the potential for solar electricity generation, contributions to the local grid, capital expenditures, break-even analysis, and the overall economic impact. Additionally, the project incorporates a 500-yard amusement park and Forest Grove Cafeteria to further enhance its utility. Leveraging cutting-edge AI technologies, the study explores the integration of an AI- powered Energy Management System (EMS) for optimizing energy distribution, predictive maintenance for operational efficiency, and dynamic pricing models based on demand forecasting. By incorporating machine learning algorithms for real-time energy optimization, load forecasting, and smart traffic management, the proposed station aims to deliver a highly efficient and sustainable solution for electric vehicle charging, while also offering personalized user experiences and long-term economic benefits for the region.

Solar-powered charging station, EV infrastructure, renewable energy, highway development, amusement park feasibility.

"AI Amalgamation - Feasibility Study and Economic Analysis of a Solar-Powered Four-Wheeler Charging Station with Amortization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.548-555, May-2025, Available :http://www.jetir.org/papers/JETIRGV06077.pdf

"AI Amalgamation - Feasibility Study and Economic Analysis of a Solar-Powered Four-Wheeler Charging Station with Amortization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pp548-555, May-2025, Available at : http://www.jetir.org/papers/JETIRGV06077.pdf