Course Description

This 5-day program provides a comprehensive overview of power system simulation using Generative AI (Gen AI) technologies. Participants will explore how AI and machine learning can enhance power system modeling, forecasting, optimization, and decision-making. The course covers load flow analysis, fault and stability studies, predictive maintenance, renewable energy integration, and energy management system simulation. Participants will also examine the role of generative AI in creating synthetic datasets, scenario modeling, and optimization for system planning and operation. By the end of the program, participants will understand how Gen AI can improve simulation accuracy, reduce computational effort, and support smart grid and sustainable energy initiatives.

Course Objectives

Upon completion of this course, participants will be able to:

  • Understand AI and Gen AI concepts as applied to power system simulation.
  • Model and analyze power system networks using AI-assisted tools.
  • Perform load flow, stability, and fault simulations with AI support.
  • Apply predictive analytics for maintenance and operational optimization.
  • Integrate renewable energy and distributed resources into system models.

Who Should Attend?

This course is designed for power system engineers, grid operators, energy analysts, electrical design engineers, renewable energy planners, and technical staff responsible for system simulation, planning, or optimization.

Course Agenda

Registration

Welcome & Introduction

Pre-Test

Day 1: Introduction to Gen AI in Power Systems

  • Overview of Generative AI concepts and machine learning
  • Role of AI in modern power system analysis
  • Introduction to power system simulation tools
  • Current trends in smart grids and AI-enabled energy systems

Day 2: Load Flow and Network Analysis with AI

  • Load flow analysis fundamentals
  • Fault analysis and contingency planning
  • AI-assisted load flow prediction and optimization
  • Integration with traditional simulation software
Day 3: Stability, Reliability, and Predictive Analytics

  • Power system stability concepts
  • Predictive maintenance and asset health modeling
  • Reliability analysis using AI-driven methods
  • AI for transient and dynamic simulations
Day 4: Renewable Energy Integration and Optimization

  • Modeling renewable generation (solar, wind, storage)
  • AI-assisted grid balancing and energy dispatch
  • Scenario generation for demand and generation forecasting
  • Optimization of energy resources using Gen AI
Day 5: Advanced Applications and Emerging Trends

  • Generative AI for synthetic dataset creation and scenario simulation
  • AI-driven decision support for grid planning and operation
  • Case studies of AI in power system simulation
  • Review, key takeaways, and action planning

Post Test

End of the Course

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.

Percentages of the total course hour classification are:

  • ​40% Theoretical lectures, Concepts and approach
  • 20% Motivation to develop individual skill and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as reference manual. This presentation material is a compilation of core valuable information, references, presentation methods and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why Edtech ?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.