
Artificial Intelligence (AI) and Machine Learning (ML) are transforming modern electrical engineering by enabling data driven decision-making, automation, and predictive intelligence in power systems and electric mobility. With the shift toward smarter and more sustainable infrastructures, AI & ML methods are becoming crucial for applications such as predictive maintenance, fault detection, battery health estimation, energy demand forecasting, load profiling, and optimal grid monitoring. Through this workshop, participants will gain hands-on experience in applying search algorithms for grid maintenance, implementing regression and classification models for forecasting and protection systems, and exploring clustering and reinforcement learning techniques for consumer analytics and EV charging optimization. The program is designed to enhance practical skills and problem-solving capabilities, empowering learners to apply intelligent solutions for improved reliability, efficiency, and innovation in future electrical networks.