Optimising EV Charging Station Locations and Utilisation with Geospatial Analytics
Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate
About this project
Objective: To identify optimal locations for new EV charging stations and analyse utilisation patterns to maximise network efficiency in an urban Indian context.
India's rapid adoption of electric vehicles (EVs) is limited by the availability and efficient utilisation of charging infrastructure, especially in urban centres where range anxiety and under-utilised stations hinder growth.
This project will use real-world data (traffic flows, EV registrations, power grid capacity, demographics) to analyse current usage of public charging stations and develop a siting model for optimal future deployment in a selected Indian metro city.
Deliverables include geospatial heatmaps of current demand, a predictive model for utilisation, a prioritised list of high-potential sites, and a dashboard prototype for ongoing network management. The team will analyse cost-benefit trade-offs and operational feasibility for recommended sites.
This solution will support city planners and energy companies in making data-driven decisions, improving EV adoption rates, enhancing consumer experience, and optimising capital allocation for charging infrastructure.
Milestones
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Tools used
Prerequisites
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Be the first to mentorYou'll earn — Certificate (PDF)
AICTE-aligned Project Completion Certificate
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AICTE-aligned
Certificate of Project Completion
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has successfully completed the project
Optimising EV Charging Station Locations and Utilisation wi…
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