![]() Mohammad Shahidehpour, Ph.D., IEEE Fellow |
![]() Ian Ferguson, Ph.D, IEEE, IOP and SPIE Fellow |
Title: Machine Learning Applications in Optimal Power System Decision Analyses |
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Dr. Mohammad Shahidehpour
Fellow IEEE Bodine Chair Professor and Director Galvin Center for Electricity Innovation, Illinois Institute of Technology |
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Abstract:
Modern power systems are large, distributed, dynamic, uncertain, and complex machines with a wide range of heterogeneous and spatially-distributed electrical components, e.g., distributed energy resources (DERs), electric vehicles (EVs), intelligent switches, and smart meters. With the fast-growing penetration of distributed devices and technologies in electric power systems, advanced communication, computation, and control infrastructures are progressively utilized by stakeholders for substantiating a more efficient, reliable, resilient, sustainable, economic, and secure management of electricity grid. However, a rigorous modeling of complex power system operations is becoming more challenging as distributed, data-oriented, closely-coupled, and highly uncertain components are blended into power systems. |
![]() Dr. Mohammad Shahidehpour |
With steady advances in communication and computational technologies, e.g., 5G networks and edge-computing, machine learning techniques will evolve as a viable tool to embrace new opportunities and challenges for power system optimization. Machine learning, which is an extension of the artificial intelligence practice in power systems, is portrayed as a data analytic technique that can train computers to complete complicated operation tasks and arrive at credible decisions automatically via a specific learning process. This presentation offers a systematic application of state-of-the-art machine learning techniques in the optimal operation and control of distributed power systems. | |
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. Dr. Shahidehpour is the recipient of the 2009 honorary doctorate from the Polytechnic University of Bucharest. He is a Fellow of IEEE, Fellow of CSEE (China), Fellow of the American Association for the Advancement of Science (AAAS), Fellow of the National Academy of Inventors (NAI), and an elected member of the US National Academy of Engineering (NAE). He is also listed as a highly cited researcher on the Web of Science (ranked in the top 1% by citations demonstrating significant influence among his peers). |
Title: The Development of Non-Toxic and Earth-Abundant ZnO-based Materials and Devices for Photonics and Energy Applications |
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Dr. Ian Ferguson
Fellow IEEE, IOP and SPIE Dean, Southern Polytechnic College of Engineering and Engineering Technology Kennesaw State University |
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Authors: Vishal Saravade, Zhe Chuan Feng, Manika Tun Nafisa, Chuanle Zhou, Na Lu, Benjamin Klein, and Ian Ferguson
Abstract: III-V semiconductor materials and devices are the preferred solution for many photonics and energy applications due to their wide coverage of direct bandgaps, high electron mobility, high thermal stability, and many other exceptional properties. However, many III-V materials contain highly toxic elements, can be limited in quantity, or come from very specific geographic regions. An overview will be given about the potential of ZnO to transform the semiconductor industry as a wide bandgap material that is non-toxic and earth-abundant. This presentation will review the ZnO as a basis for a universal semiconductor material and its use in a number of applications before identifying some future areas of interest. These applications and areas of interest include photonics, energy harvesting, spintronics, thermoelectrics, electronics, quantum computing, construction, and nuclear applications. |
![]() Dr. Ian Ferguson |
Speaker Biography:
Ian Ferguson is the Dean of Southern Polytechnic College of Engineering and Engineering Technology at Kennesaw State University. His research expertise is in building interdisciplinary teams to use compound semiconductor materials and devices for applications in the areas of sensors, illumination, energy harvesting, and spintronics. As an international educator and researcher, he has had active collaborations in the US, Europe, and Asia, which has resulted in over 575 refereed journal publications, conference proceedings, books, book chapters, and patents. He is a Fellow of the Royal Society of Arts, Manufactures and Commerce (FRSA), the American Vacuum Society, the Institute of Electrical and Electronic Engineering, the Institute of Physics, Optica, (formerly OSA), the International Society for Optical Engineering and a Chartered Physicist (CPhys). |