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DTSTAMP:20240101T124027Z
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DTSTART;TZID=Asia/Muscat:20230620T120000
DTEND;TZID=Asia/Muscat:20230620T130000
DESCRIPTION:Abstract\nPower electronic converters are "hidden heroes" in nu
 merous modern energy systems\, such as wind\nturbines\, Photovoltaics (PV)
 \, Power-to-X\, electric vehicles\, data centers\, mobile phones\, and sma
 rt homes.\nIn contrast to CPUs/GPUs that process digitalized information\,
  power electronic converters process\nelectrical energy by efficiently con
 verting voltage\, current\, or frequency. They are ubiquitous in electrici
 ty\ngeneration\, transmission\, distribution\, and consumption\, forming a
  critical part of the infrastructure for the\ngreen transition. Artificial
  Intelligence (AI) is increasingly solving optimization\, regression\, and
  classification\nproblems within the energy sector\, where deep electrific
 ation and digitalization intersect. This presentation\nfocuses on the appl
 ication of AI in the design\, control\, and condition monitoring of power 
 electronic\ncomponents and converters. Specifically\, it covers the follow
 ing aspects: 1) a brief introduction to power\nelectronics and its pivotal
  role in modern energy systems\; 2) an overview of AI research spanning fr
 om the\n1990s to the present day\, focusing on diverse power electronics a
 pplications\; 3) discussions on the unique\nchallenges faced when applying
  AI to power electronics compared to other domains\, as well as the gaps\n
 between current academic research and industry applications\; 4) a few ill
 ustrative examples that highlight\nthe potential opportunities for employi
 ng AI in the field of power electronics.\n\nBiography\nHuai Wang is a Prof
 essor at the Department of Energy\, Aalborg University in Denmark.\nHe lea
 ds the Reliability of Power Electronic Converters (ReliaPEC) group and cha
 irs the\nMission of Digital Transformation and AI at AAU Energy\, with 13 
 affiliated research\ngroups. His research addresses the fundamental challe
 nges and application issues\nrelated to efficient\, reliable\, and cogniti
 ve power electronic converters. Prof. Wang\nactively collaborates with com
 panies throughout the value chain\, from power electronic\nmaterials and c
 omponents to systems. He has initiated four short-term industrial/PhD\ncou
 rses\, which have been attended by over 500 PhD students and industry engi
 neers. In addition\, he has\ndelivered more than 30 international conferen
 ce tutorials and given over 100 invited talks.\nProf. Wang received his Ph
 D from the City University of Hong Kong in 2012 and his B.E. from Huazhong
 \nUniversity of Science and Technology in 2007. He has also conducted rese
 arch as a short-term visiting\nscientist at the Massachusetts Institute of
  Technology (MIT) in 2013 and ETH Zurich in 2014. In addition\, he\nwas wi
 th the ABB Corporate Research Center in Switzerland in 2009. In recognitio
 n of his contributions\,\nProf. Wang received the Richard M. Bass Outstand
 ing Young Power Electronics Engineer Award from the\nIEEE Power Electronic
 s Society in 2016 and IEEE Transactions on Power Electronics 1st Prize pap
 er award in\n2021. Furthermore\, he was Chair of the IEEE IAS/IES/PELS Cha
 pter in Denmark from 2018 to 2020 and\ncurrently serves on the editorial b
 oard of 4 journals from IEEE\, Springer Nature\, and Elsevier. In 2023\, h
 e\nwas elected as a member of the Danish Academy of Technical Sciences.\n\
 nKhalifa University Main Campus\, C Building\, Abu Dhabi\, United Arab Emi
 rates\, United Arab Emirates
LOCATION:Khalifa University Main Campus\, C Building\, Abu Dhabi\, United A
 rab Emirates\, United Arab Emirates
ORGANIZER:hmukhtar@ieee.org
SEQUENCE:10
SUMMARY:Applications of AI in Power Electronics - Challenges and Opportunit
 ies
URL;VALUE=URI:https://events.vtools.ieee.org/m/398455
X-ALT-DESC:Description: <br /><p>Abstract<br />Power electronic converters 
 are "hidden heroes" in numerous modern energy systems\, such as wind<br />
 turbines\, Photovoltaics (PV)\, Power-to-X\, electric vehicles\, data cent
 ers\, mobile phones\, and smart homes.<br />In contrast to CPUs/GPUs that 
 process digitalized information\, power electronic converters process<br /
 >electrical energy by efficiently converting voltage\, current\, or freque
 ncy. They are ubiquitous in electricity<br />generation\, transmission\, d
 istribution\, and consumption\, forming a critical part of the infrastruct
 ure for the<br />green transition. Artificial Intelligence (AI) is increas
 ingly solving optimization\, regression\, and classification<br />problems
  within the energy sector\, where deep electrification and digitalization 
 intersect. This presentation<br />focuses on the application of AI in the 
 design\, control\, and condition monitoring of power electronic<br />compo
 nents and converters. Specifically\, it covers the following aspects: 1) a
  brief introduction to power<br />electronics and its pivotal role in mode
 rn energy systems\; 2) an overview of AI research spanning from the<br />1
 990s to the present day\, focusing on diverse power electronics applicatio
 ns\; 3) discussions on the unique&nbsp\;<br />challenges faced when applyi
 ng AI to power electronics compared to other domains\, as well as the gaps
 <br />between current academic research and industry applications\; 4) a f
 ew illustrative examples that highlight<br />the potential opportunities f
 or employing AI in the field of power electronics.</p>\n<p>&nbsp\;</p>\n<p
 >Biography<br />Huai Wang is a Professor at the Department of Energy\, Aal
 borg University in Denmark.<br />He leads the Reliability of Power Electro
 nic Converters (ReliaPEC) group and chairs the<br />Mission of Digital Tra
 nsformation and AI at AAU Energy\, with 13 affiliated research<br />groups
 . His research addresses the fundamental challenges and application issues
 <br />related to efficient\, reliable\, and cognitive power electronic con
 verters. Prof. Wang<br />actively collaborates with companies throughout t
 he value chain\, from power electronic<br />materials and components to sy
 stems. He has initiated four short-term industrial/PhD<br />courses\, whic
 h have been attended by over 500 PhD students and industry engineers. In a
 ddition\, he has<br />delivered more than 30 international conference tuto
 rials and given over 100 invited talks.<br />Prof. Wang received his PhD f
 rom the City University of Hong Kong in 2012 and his B.E. from Huazhong<br
  />University of Science and Technology in 2007. He has also conducted res
 earch as a short-term visiting<br />scientist at the Massachusetts Institu
 te of Technology (MIT) in 2013 and ETH Zurich in 2014. In addition\, he<br
  />was with the ABB Corporate Research Center in Switzerland in 2009. In r
 ecognition of his contributions\,<br />Prof. Wang received the Richard M. 
 Bass Outstanding Young Power Electronics Engineer Award from the<br />IEEE
  Power Electronics Society in 2016 and IEEE Transactions on Power Electron
 ics 1st Prize paper award in<br />2021. Furthermore\, he was Chair of the 
 IEEE IAS/IES/PELS Chapter in Denmark from 2018 to 2020 and<br />currently 
 serves on the editorial board of 4 journals from IEEE\, Springer Nature\, 
 and Elsevier. In 2023\, he<br />was elected as a member of the Danish Acad
 emy of Technical Sciences.</p>
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