AI in Renewable Energy Systems

Artificial Intelligence in Renewable Energy Systems

 

Description

This course explores how Artificial Intelligence (AI) and Machine Learning (ML) technologies are transforming renewable energy systems. Participants will learn how AI supports forecasting, predictive maintenance, smart grids, energy storage, and data-driven decision-making for sustainable energy solutions.

Knowledge

  • Fundamentals of AI and Machine Learning
  • Renewable energy systems and smart grids
  • Energy data analytics
  • AI applications in clean energy systems

Acquired Skills

  • Analyze renewable energy data
  • Apply AI concepts to energy challenges
  • Develop simple AI-based energy solutions
  • Evaluate sustainability impacts of AI technologies

Target Group

  • Students
  • Graduates
  • Engineers
  • Energy professionals
  • Researchers

Requirements

Basic knowledge of energy systems or digital technologies.

Course Duration

6 Learning Hours

Learning Method

  • Lectures
  • Case studies
  • Practical exercises
  • Project-based learning

Assessment Method

  • Quizzes
  • Practical exercises
  • Case study analysis
  • Capstone project

Certificate Title

Artificial Intelligence in Renewable Energy Systems

Certificate Type

Micro-Credential

Main Topics

  • Renewable Energy Fundamentals
  • AI and Machine Learning Basics
  • Energy Data Analytics
  • AI for Solar Energy
  • AI for Wind Energy
  • Smart Grids and Energy Management
  • AI and Energy Storage
  • Sustainability and Ethics

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