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Optimizing Solar PV with AI & IoT: Efficiency, Maintenance & Future Trends

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Delivery Mode
Virtual / Online
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Level
Moderate
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Duration
4 Days
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Certificate
Mentor Based
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Language
English
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Rating
4 Stars
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About Workshop

As global energy transitions to renewables, solar PV systems are increasingly deployed in residential, commercial, and utility-scale projects. However, to maximize their potential, AI and IoT are now being used to monitor performance, detect faults, optimize energy output, and forecast power generation. This workshop explores the convergence of smart technologies and solar infrastructure, enabling a new era of automated, data-driven, and resilient solar systems.
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Aim

This workshop aims to empower engineers, energy professionals, researchers, and entrepreneurs with cutting-edge knowledge of how Artificial Intelligence (AI) and the Internet of Things (IoT) are revolutionizing Solar Photovoltaic (PV) systems. The program focuses on enhancing efficiency, predictive maintenance, real-time monitoring, and integrating emerging technologies for sustainable and intelligent solar energy solutions.
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What Participants Will Learn

  • To provide a technical foundation for integrating AI and IoT into solar energy
  • To teach monitoring, optimization, and forecasting techniques for PV systems
  • To explore emerging trends that will define the future of intelligent solar energy
  • To bridge the knowledge gap between data science and energy systems engineering
  • To promote sustainable innovation through smart energy technology
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Structure

Day 1: Fundamentals of Solar PV Systems & Introduction to AI-IoT

  • Overview of Solar PV Systems
  • Types of PV Systems
  • Performance Parameters & Energy Flow
  • Standards, Regulations & Safety Practices
  • Introduction to AI & IoT in Solar Energy

Day 2: IoT in Solar Energy & Performance Monitoring

  • IoT Devices & Communication Protocols
  • Real-Time Monitoring & Analytics
  • Predictive Maintenance & Troubleshooting
  • Routine & Preventive Maintenance

Day 3: AI Techniques & Energy Optimization

  • Machine Learning Applications
  • Deep Learning for Solar Optimization
  • Energy Forecasting & Smart Grid Integration
  • Case Studies: AI & IoT in Solar Energy

Day 4: Advanced Maintenance, Emerging Technologies & Hands-On Project

  • Advanced Diagnostic Tools
  • Smart Energy Management & Hybrid Systems
  • Future Trends in AI & IoT for Solar
  • Hands-on Session: IoT-Based Solar Monitoring System

Important Dates

Registration Ends

3:00 PM

Workshop Dates

2025-04-06
5 PM
5 PM
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What You Will Gain

Sample Certificate
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Outcomes

āœ” Understand how AI and IoT integrate into solar PV systems āœ” Learn to design smart monitoring and fault detection systems āœ” Gain hands-on knowledge of predictive analytics for solar performance āœ” Be able to develop forecasting models for power output optimization āœ” Explore the future of smart solar systems and clean energy automation
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Who Should Attend

  • Renewable Energy Engineers
  • IoT and AI Developers in Energy Tech
  • Solar PV System Integrators
  • Smart Grid & Microgrid Designers
  • Energy Policy Makers & Researchers
  • Entrepreneurs in CleanTech Startups

Dr. Galiveeti Poornima

Assistant Professor

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