University of Doha for Science & Technology, Doha, Qatar | December 03-05, 2024

invited speakers

Title: Generative Artificial Intelligence Applications in Smart Grids

Dr. Mohammad Shahidehpour
Fellow IEEE
Bodine Chair Professor and Director
Galvin Center for Electricity Innovation,
Illinois Institute of Technology
Abstract:
The integration of artificial intelligence (AI) into smart grid technologies has manifested the potential for enhancing the optimization of electric power systems. Generative AI refers to a category of artificial intelligence techniques and models that are designed to generate new content based on input data. In essence, generative AI models are trained on large datasets and learn to mimic and generate contents that are similar to the input data. In smart grid applications, generative AI can capture complex patterns and dependencies in power system data, leading to more accurate forecasts, especially in scenarios with nonlinear and dynamic input patterns.

Dr. Mohammad Shahidehpour
This presentation will provide a comprehensive overview of latest advancements in generative AI and their applications in smart grid. It will be demonstrated that the generative AI will have the potential for revolutionizing the way smart grids are operated, leading to more efficient, resilient, reliable, economic, and sustainable energy system operations. The presentation will also highlight the importance of big data and the role of generative AI in enhancing the forecasting, reliability, resiliency, performance and efficiency of smart grids. The presentation will discuss advanced AI techniques, such as generative adversarial networks (GANs), data-driven control strategies, machine learning models for load and price forecasting, deep learning applications for fault detection/self-healing, and reinforcement learning for demand response optimization. In addition, data security, and real-world implementation challenges and possible solutions for applying generative AI in smart grid will be reviewed. The presentation will discuss the perspectives on future trends for AI-enabled smart grid implementations.
Speaker Biography:
Dr. Mohammad Shahidehpour is a University Distinguished Professor, Bodine Chair Professor of Electrical and Computer Engineering, and Director of the Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology (IIT). He has over 40 years of experience with power system operation, planning, and control and has completed several major projects for the electric energy sector. His project on Perfect Power Systems has converted the entire IIT Campus to an islandable microgrid. Dr. Shahidehpour was the recipient of several technical awards including of the IEEE Burke Hayes Award for his research on hydrokinetics, IEEE/PES Outstanding Power Engineering Educator Award, IEEE/PES Ramakumar Family Renewable Energy Excellence Award, IEEE/PES Douglas M. Staszesky Distribution Automation Award, and the Edison Electric Institute’s Power Engineering Educator Award. He has co-authored 6 books and over 900 technical papers on electric power system operation and planning, and served as the founding Editor-in-Chief of the IEEE Transactions on Smart Grid and the IEEE Energy Sustainability magazine. Dr. Shahidehpour is the recipient of the 2009 honorary doctorate from the Polytechnic University of Bucharest. He is a Fellow of the IEEE, the American Association for the Advancement of Science (AAAS), the National Academy of Inventors (NAI), and the Chinese Society for Electrical Engineering (CSEE). He is an elected member of the US National Academy of Engineering (NAE) and listed as a highly cited researcher on the Web of Science (ranked in the top 1% by citations demonstrating significant influence among his peers).