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AI and IOT applications in solar Energy

Integrating Intelligence and Connectivity for Smarter Solar Energy Solutions

★ 4.1 (31 ratings)Access 24/7 · 365 daysVideo lectures of 3+ hrsCertificate
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About This Course

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.

Course 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.
Next: Syllabus →

Syllabus

Module 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 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 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.

Who Should Enrol?

  • 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

Course 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
Next: Fees →

Course fee

Learners in India

₹2,499

Learners outside India

$50

  • Video lectures
  • Study material
  • Certificate after completion
  • 365-day access

Enrol in the course

The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.

Next: FAQ →

Frequently asked questions

How is this course taught?

Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.

How long do I have access?

365 days from your registration, on your NanoSchool dashboard.

Do I get a certificate?

Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

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(+91) 120-4781-217
 WhatsApp +91 99581 61117

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