COURSE OVERVIEW

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Artificial Intelligence for Power Sector. It covers the AI in the power industry, data fundamentals for AI applications and machine learning basics for engineers; the AI ecosystem and tools for power applications and digital transformation in utilities; the AI in conventional power plant operations, AI for renewable energy forecasting and predictive maintenance in generation assets; the load prediction and unit commitment and automated dispatch optimization; and the economic load dispatch using AI and integration with DERs (distributed energy resources). 

 

Further, the course will also discuss the AI for decarbonization strategies, AI applications in grid operations, AI in asset health and grid reliability and fault detection and restoration; the AI for distribution network optimization, AI in outage management and customer service and AI in smart grid technologies; the load profiling and consumer behavior and non-technical loss detection; and the energy theft detection and real-time alerts and pattern detection. 

 

During this interactive course, participants will learn the load forecasting at different levels, dynamic pricing and demand elasticity, AI in demand response program planning and home energy management via AI; the performance of AI and energy storage optimization and recommendation systems for energy usage; the personalized energy-saving tips, AI-driven billing and forecasting and customer segmentation; the AI projects in utilities, bias and fairness in AI models, and explainable AI (XAI) in operations; the data privacy and compliance and AI and workforce transformation; the cyber threats to AI-powered grid systems, AI in threat detection, securing data pipelines and regulatory compliance; the smart pumping optimization, AI-based desalination energy forecasting, joint water-electricity demand forecasting and AI for leakage and pressure control; the generative AI in utilities and AI + blockchain for grid traceability; the quantum computing in energy optimization; and the autonomous grid agents and AI-powered microgrids.