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Home /Artificial Intelligence /Workshop /Solar Energy Integration in Urban Planning

Artificial Intelligence · Workshop

Solar Energy Integration in Urban Planning

AI models for optimal rooftop and facade PV Deployment.

ModeVirtual / Online
LevelAdvanced
Fee₹1,999

Batch Enroll More Workshop

Recording available

2025-10-15

Registration ends 4:30 PM
Mentor Based
English

Get Recording Access

Delivery Mode

Virtual / Online

Level

Advanced

Certificate

Mentor Based

Language

English

Rating

5 Stars

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About Workshop

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.

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

Important Dates

Registration Ends

4:30 PM

Workshop Dates

2025-10-15

5:30 PM

5:30 PM

What You Will Gain

Sample Certificate

Who Should Attend

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.

G Kaur

Assistant Professor

Live sessions have concluded.

This workshop is now available as a recording: full session videos and course materials, with lifetime access. Live mentorship and the Q&A sessions are not included.

Get Recording Access

Recording Access

Recording Access

₹1999 | $60

Start Date2025-10-155:30 PM
End Date2025-10-17
Registration Starts5:30 PM
Registration Ends4:30 PM
LanguageEnglish

Batch Enrollment More Workshop

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