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DTSTART:20380119T071407
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DTSTART:19200101T001848
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DTSTAMP:20240210T064831Z
UID:9045FBC2-B6CD-435B-8F6D-9D5BFFAF1510
DTSTART;TZID=Asia/Muscat:20230620T120000
DTEND;TZID=Asia/Muscat:20230620T130000
DESCRIPTION:Power electronic converters are &quot;hidden heroes&quot; in numerous mod
 ern energy systems\, such as wind\nturbines\, Photovoltaics (PV)\, Power-t
 o-X\, electric vehicles\, data centers\, mobile phones\, and smart homes.\
 nIn contrast to CPUs/GPUs that process digitalized information\, power ele
 ctronic converters process\nelectrical energy by efficiently converting vo
 ltage\, current\, or frequency. They are ubiquitous in electricity\ngenera
 tion\, transmission\, distribution\, and consumption\, forming a critical 
 part of the infrastructure for the\ngreen transition. Artificial Intellige
 nce (AI) is increasingly solving optimization\, regression\, and classific
 ation\nproblems within the energy sector\, where deep electrification and 
 digitalization intersect. This presentation\nfocuses on the application of
  AI in the design\, control\, and condition monitoring of power electronic
 \ncomponents and converters. Specifically\, it covers the following aspect
 s: 1) a brief introduction to power\nelectronics and its pivotal role in m
 odern energy systems\; 2) an overview of AI research spanning from the\n19
 90s to the present day\, focusing on diverse power electronics application
 s\; 3) discussions on the unique\nchallenges faced when applying AI to pow
 er electronics compared to other domains\, as well as the gaps\nbetween cu
 rrent academic research and industry applications\; 4) a few illustrative 
 examples that highlight\nthe potential opportunities for employing AI in t
 he field of power electronics\n\nCo-sponsored by: Khalifa University\n\nSp
 eaker(s): Dr. Huai Wang\, \n\nKhalifa University\, Al Saada Street\, Abu D
 habi\, United Arab Emirates\, United Arab Emirates\, 127788
LOCATION:Khalifa University\, Al Saada Street\, Abu Dhabi\, United Arab Emi
 rates\, United Arab Emirates\, 127788
ORGANIZER:tarek.elfouly@ku.ac.ae
SEQUENCE:8
SUMMARY:Seminar on Applications of AI in Power Electronics: Challenges and 
 Opportunities
URL;VALUE=URI:https://events.vtools.ieee.org/m/404285
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Power electronic converters are &quot;hidden he
 roes&quot; in numerous modern energy systems\, such as wind&lt;br /&gt;turbines\, Pho
 tovoltaics (PV)\, Power-to-X\, electric vehicles\, data centers\, mobile p
 hones\, and smart homes.&lt;br /&gt;In contrast to CPUs/GPUs that process digita
 lized information\, power electronic converters process&lt;br /&gt;electrical en
 ergy by efficiently converting voltage\, current\, or frequency. They are 
 ubiquitous in electricity&lt;br /&gt;generation\, transmission\, distribution\, 
 and consumption\, forming a critical part of the infrastructure for the&lt;br
  /&gt;green transition. Artificial Intelligence (AI) is increasingly solving 
 optimization\, regression\, and classification&lt;br /&gt;problems within the en
 ergy sector\, where deep electrification and digitalization intersect. Thi
 s presentation&lt;br /&gt;focuses on the application of AI in the design\, contr
 ol\, and condition monitoring of power electronic&lt;br /&gt;components and conv
 erters. Specifically\, it covers the following aspects: 1) a brief introdu
 ction to power&lt;br /&gt;electronics and its pivotal role in modern energy syst
 ems\; 2) an overview of AI research spanning from the&lt;br /&gt;1990s to the pr
 esent day\, focusing on diverse power electronics applications\; 3) discus
 sions on the unique&amp;nbsp\;&lt;br /&gt;challenges faced when applying AI to power
  electronics compared to other domains\, as well as the gaps&lt;br /&gt;between 
 current academic research and industry applications\; 4) a few illustrativ
 e examples that highlight&lt;br /&gt;the potential opportunities for employing A
 I in the field of power electronics&lt;/p&gt;
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