AI and IOT applications in solar Energy

Integrating Intelligence and Connectivity for Smarter Solar Energy Solutions

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Days

Start Date
25 -March -2025

Time
5 PM IST

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.

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.

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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.

Workshop Structure

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.

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.

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.

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

Important Dates

Registration Ends

2025-03-25
Indian Standard Timing 3:00 PM

Workshop Dates

2025-03-25 to 2025-03-27
Indian Standard Timing 5 PM

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

Mentor Profile

Name: Dr. Jyoti Gangane
Designation: Professor
Affiliation: University of Malaga, Spain,

Dr. Jyoti Gangane is a Professor in the E&TC . Department of Vishwaniketans-iMEET at the
University of Mumbai
She received her Ph.D. Degree in wireless Communication from the University of Malaga,
Spain, in 2016. Then, she worked as a Professor at Vishwaniketans-iMEET Institute/University
for 03 Years. She has 32 Years of Experience in the field of E&TC . Her Area of Expertise
includes: Digital signal processing, wireless communication

Fee Structure

Student

INR. 1999
USD. 45

Ph.D. Scholar / Researcher

INR. 2499
USD. 50

Academician / Faculty

INR. 2999
USD. 55

Industry Professional

INR. 4999
USD. 75

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!
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