Predictive Maintenance Using AI and Energy workshop

Predictive Maintenance Using AI and Energy workshop, delivered by Mr Hadj Sassi Mahdi, provided participants with a comprehensive understanding of how artificial intelligence enhances energy system reliability. The session covered the full machine learning pipeline, from data collection and preprocessing to model training, evaluation and optimization, illustrating how predictive maintenance can anticipate failures and improve operational efficiency. In addition, the workshop emphasized the importance of data visualization, demonstrating how graphs, dashboards and analytics tools enable engineers to monitor performance, detect anomalies and make informed maintenance decisions. Attendees gained practical insights into reducing operational costs, extending equipment lifespan and leveraging AI-driven strategies for efficient energy infrastructure management, making the workshop highly relevant and engaging.