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能源与电力学术论坛(一):Smart Energy Systems: A Digitization Perspective

发布者:能电院发布时间:2020-01-06浏览次数:240

报告题目: Smart Energy Systems: A Digitization Perspective

演讲专家: Andrew Kusiak

The University of Iowa(爱荷华大学)

 : 202017日下午2:304:30

 : 江宁校区勤学楼5208

 

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能源与电气学院

202016

Abstract

The concepts of cyber-physical systems, internet of things, and cloud computing have attracted attention of various energy applications, from energy generation to smart homes. The newly developed solutions are smarter, more efficient, better connected, shared, and sustainable. The key differentiators of smart energy systems of tomorrow are in the greater use of data, predictive capability, and sustainability.  Driven by big data, predictive engineering offers a new paradigm in constructing high-fidelity models (digital twins) of phenomena of interest. Such models explore future spaces, some within the realm of existing technology and others that have not been studied. All types of energy generation offer large volumes of data that can be used to make positive contributions to energy generation and consumption. Examples of big data approaches for improvement of efficiency of energy generation and management of energy consumption are presented. Sustainability is of paramount importance in the applications supported by smart systems. Leading computational intelligence approaches, including deep and broad learning as well as generative adversarial networks, applicable to modeling smart systems are presented. The concepts discussed in the presentation are illustrated with applications.

Biography


Dr. Andrew Kusiak is a Professor in the Department of Industrial and Systems Engineering and Director of the Intelligent Systems Laboratory at The University of Iowa, Iowa City. He has chaired two departments, Industrial Engineering (1988-95) and Mechanical and Industrial Engineering (2010-15). His current research focuses on applications of artificial intelligence and big data in smart manufacturing, product development, renewable energy, sustainability, and healthcare. He has published numerous books and technical papers in journals sponsored by professional societies, such as the Association for the Advancement of Artificial Intelligence, the American Society of Mechanical Engineers, Institute of Industrial and Systems Engineers, Institute of Electrical and Electronics Engineers, Nature, and other societies. He speaks frequently at international meetings, conducts professional seminars, and consults for industrial corporations. Dr. Kusiak has served in elected professional society positions as well as various editorial roles in over fifty journals, including five different IEEE Transactions. Professor Kusiak is a Fellow of the Institute of Industrial and Systems Engineers and the Editor-in-Chief of the Journal of Intelligent Manufacturing.