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On 12 June 2026, the Centre of Excellence for Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), successfully organized a one-day Hands-On Training on AI-Based Power System Decision Using MATLAB and Simulink at the Power System Analysis Laboratory, FKTE. I had the privilege of serving as the trainer for this program, which attracted participants interested in artificial intelligence applications in power systems.
The training was designed to provide participants with both theoretical knowledge and practical experience in integrating Artificial Intelligence (AI) techniques into power system analysis and decision-making. Throughout the session, participants were introduced to the fundamentals of machine learning and neural networks, followed by hands-on exercises using MATLAB and Simulink.
The workshop covered several important topics, including power system modeling and simulation, fault analysis, system performance evaluation, neural network development, and AI-assisted decision-making. Participants were guided step-by-step in developing AI models and applying them to solve engineering problems related to power systems.
One of the key objectives of the training was to bridge the gap between conventional power system analysis and emerging AI technologies. As power systems become increasingly complex with the integration of renewable energy resources, advanced data-driven approaches are becoming essential for improving system reliability, efficiency, and operational decision-making.
The interactive nature of the workshop enabled participants to gain valuable practical experience through simulation exercises, discussions, and problem-solving activities.
I would like to express my sincere appreciation to CERE, FKTE, and UniMAP for their continuous support. Special thanks are also extended to all participants for their commitment and engagement throughout the day.
It is my hope that the knowledge and skills gained from this workshop will assist participants in their future research, academic activities, and professional careers, particularly in the rapidly evolving fields of Artificial Intelligence, Renewable Energy, and Smart Power Systems.
