AI and IOT applications in solar Energy
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Course Overview
Workshop Registration End Date :2025-04-06
Program Syllabus
Module 1
About
The AI and IoT Applications in Solar Energy workshop explores the convergence of advanced technologies with solar energy solutions. Participants will learn how AI optimizes performance, predicts maintenance needs, and enhances decision-making, while IoT facilitates connectivity and real-time monitoring of solar systems. This program highlights innovative applications, tools, and techniques for implementing AI and IoT in solar energy projects.
Module 2
Aim
To provide participants with an understanding of how Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming solar energy systems, enabling smarter operations, enhanced efficiency, and sustainable energy management.
Module 3
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI and IOT applications in solar Energy
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Workshop Objectives
- To introduce participants to the fundamentals of AI and IoT in solar energy systems.
- To train participants in implementing smart technologies for solar energy optimization.
- To explore real-world applications and case studies of AI and IoT in solar projects.
- To address challenges and solutions for secure and scalable solar energy systems.
- To prepare participants for leadership roles in smart renewable energy solutions.
Module 4
Workshop Structure
Module 5
Day 1: Introduction to AI and IoT in Solar Energy
- Overview of AI and IoT in Renewable Energy
- Role of AI and IoT in optimizing solar energy systems.
- Key applications: Predictive analytics, real-time monitoring, and smart energy management.
- Solar Energy System Basics
- Components of solar energy systems: PV modules, inverters, batteries, and monitoring tools.
- Energy flow in grid-connected and off-grid solar systems.
- IoT in Solar Energy
- IoT devices for solar: Smart meters, sensors, and IoT gateways.
- Communication protocols: MQTT, ZigBee, and LoRa for solar IoT networks.
- AI Techniques for Solar Energy
- Machine learning for demand forecasting and fault detection.
- Deep learning for solar irradiation prediction and energy optimization.
Module 6
Day 2: Applications of AI and IoT in Solar Energy Systems
- Real-Time Monitoring and Analytics
- Using IoT devices for real-time solar system performance monitoring.
- Role of AI in analyzing energy generation and consumption patterns.
- Predictive Maintenance
- Using IoT sensors to detect anomalies and faults in PV systems.
- AI-powered predictive models for early fault detection in inverters, modules, and batteries.
- Energy Forecasting and Optimization
- AI models for solar irradiation and energy output prediction.
- Optimizing energy storage and grid utilization with AI.
- Case Studies and Tools
- Real-world examples of AI and IoT in solar energy.
- Hands-on Session: Implementing a simple IoT-based solar monitoring system using Arduino/Raspberry Pi.
Module 7
Day 3: Advanced Applications and Hands-On Project
- Smart Energy Management
- AI-driven energy management systems for microgrids and hybrid systems.
- Integrating solar energy with smart home and building systems using IoT.
- Grid Integration and Demand Response
- Using AI to manage grid-tied solar systems and reduce peak load stress.
- IoT-enabled demand response systems for efficient grid interaction.
- Future Trends in AI and IoT for Solar Energy
- Role of AI in virtual power plants and energy trading.
- IoT and blockchain for secure and transparent solar energy transactions.
Module 8
Participant’s Eligibility
- Solar energy professionals and engineers
- IoT and AI developers interested in renewable energy applications
- Entrepreneurs and investors in clean energy solutions
- Students and researchers in renewable energy, AI, and IoT
Module 9
Important Dates
Module 10
Registration Ends
2025-04-06
Indian Standard Timing 3:00 PM
Module 11
Workshop Dates
2025-04-06 to 2025-04-08
Indian Standard Timing 5 PM
Module 12
Workshop Outcomes
- Proficiency in integrating AI and IoT into solar energy systems
- Hands-on experience with tools for monitoring and optimizing solar systems
- Insights into challenges and solutions in smart solar energy management
- Awareness of future trends and innovations in intelligent solar technologies
- Skills to lead AI and IoT-driven solar energy projects in diverse settings
Module 13
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Mentor Profile
Module 14
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 18
Industry Professional
INR. 4999
USD. 75
List of Currencies
Module 19
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 20
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 21
Future Career Prospects
- AI and IoT Specialist for Renewable Energy
- Solar Energy Systems Developer
- Smart Grid Engineer
- Data Scientist for Solar Energy Optimization
- Researcher in Intelligent Solar Energy Systems
Module 22
Job Opportunities
- AI Developer for Solar Energy Applications
- IoT Consultant for Renewable Projects
- Energy Analytics Specialist
- Solar Energy Performance Optimizer
- Technical Advisor for Smart Solar Systems
Module 25
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 26
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