AI models for optimal rooftop and facade PV Deployment.
This 3-day workshop explores how Artificial Intelligence and geospatial technologies can transform solar energy integration in urban planning. Participants will learn how to use AI models for detecting rooftop and façade potential, apply digital twins and solar simulations to complex cityscapes, and leverage decision-support tools for policy and design. Through case studies and practical demonstrations, the workshop bridges AI, architecture, and urban energy strategy to accelerate the transition toward carbon-neutral and energy-positive cities.
To introduce participants to AI-driven methods and geospatial tools for optimizing rooftop and façade solar PV deployment in urban areas, enabling smarter planning, enhanced energy efficiency, and sustainable city development.
📅 Day 1 – Urban Solar Potential Assessment Using AI and Geospatial Data
📅 Day 2 – AI Modeling, Digital Twins & Solar Simulation in Urban Environments
📅 Day 3 – AI-Driven Decision Support, Urban Energy Strategy & Policy Integration
This workshop is designed for:
Urban planners, architects, and sustainability professionals.
Researchers and students in renewable energy, AI, and geospatial sciences.
Policy makers and government officials working on energy and climate action.
Industry professionals interested in solar integration, smart cities, and energy-positive design.
October 15, 2025
IST 4:30 PM
October 15, 2025 – October 17, 2025
IST 5:30 PM
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
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