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Solar Energy Integration in Urban Planning
AI models for optimal rooftop and facade PV Deployment.
About This Course
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.
Aim
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.
Workshop Structure
📅 Day 1 – Urban Solar Potential Assessment Using AI and Geospatial Data
- Welcome Address & Overview of Workshop Goals – Introducing theme, objectives, and outcomes
- Urban Energy Systems and the Role of Distributed PV
- The evolution of urban solar energy systems
- Significance of rooftop and façade PV in carbon-neutral cities
- AI-Powered Rooftop and Façade Detection (DeepLabv3+, CNNs)
- Integration of high-resolution satellite, LiDAR, and drone imagery
- Geospatial Techniques for Solar Potential Mapping
- Methods for extracting solar-accessible surfaces
- Tools for irradiance estimation & visualization
- Introduction to open-source platforms & datasets
📅 Day 2 – AI Modeling, Digital Twins & Solar Simulation in Urban Environments
- Spatial Digital Twins for Solar Planning
- Building interactive urban energy models for PV deployment
- Integration of AI with city-wide GIS databases
- Generative & Predictive Modeling for Solar Performance
- SolarGANs for façade irradiance prediction
- Deep learning for forecasting yield & shading
- Urban Density, Morphology & Solar Access Optimization
- Evaluating solar design in high-density environments
- AI-based urban form optimization for solar capture
📅 Day 3 – AI-Driven Decision Support, Urban Energy Strategy & Policy Integration
- Multi-Criteria Optimization in PV Deployment
- AI-based decision-support systems for planners & architects
- Balancing technical, economic, spatial & aesthetic constraints
- Economic & Regulatory Considerations
- PV payback, amortization & cost-benefit modeling
- Policy mechanisms for incentivizing façade-integrated solar
- Global case studies & implementation frameworks
- Shaping the Future of Urban Solar Design
- Interdisciplinary collaboration across AI, architecture, and planning
- Integration with smart cities & energy-positive initiatives
- Final reflections & forward-looking discussion
Who Should Enrol?
This workshop is designed for:
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Urban planners, architects, and sustainability professionals.
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Researchers and students in renewable energy, AI, and geospatial sciences.
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Policy makers and government officials working on energy and climate action.
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Industry professionals interested in solar integration, smart cities, and energy-positive design.
Important Dates
Registration Ends
10/13/2025
IST 4:30 PM
Workshop Dates
10/13/2025 – 10/15/2025
IST 5:30 PM
Meet Your Mentor(s)
Fee Structure
Student Fee
₹1999 | $60
Ph.D. Scholar / Researcher Fee
₹2999 | $70
Academician / Faculty Fee
₹3999 | $80
Industry Professional Fee
₹5999 | $100
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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