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DTSTAMP:20240617T100259Z
UID:149761B8-2113-41D3-A0CD-79664B9C53C0
DTSTART;TZID=Europe/London:20240614T140000
DTEND;TZID=Europe/London:20240614T150000
DESCRIPTION:Abstract:\n\nFacing the complex challenge of transitioning to c
 lean energy\, we must integrate renewables\, ensure grid stability\, and m
 anage energy resources effectively. This lecture will explore AI&#39;s transfo
 rmative impact in this sector. She will address how AI navigates challenge
 s like renewable integration\, power converter integration and maintaining
  grid balance\, and how it can effectively coordinate grid\, thus enhancin
 g renewable integration with grid security. She will present AI’s role i
 n modeling of power converter dominated grids as well as safe deep reinfor
 cement learning for grid control to improve performance.\n\nBio:\n\nQianwe
 n Xu is Associate Professor at KTH Royal Institute of Technology\, Sweden.
  She is the director of Intelligent Sustainable Grid (ISG) Lab @ KTH\, and
  co-director of Dig-it Lab (Vinnova competence center). Her research inter
 ests include advanced control\, optimization and artificial intelligence a
 pplication of sustainable power systems and microgrids. As PI\, She has re
 ceived over 50 million sek funding from Swedish Research Council\, Swedish
  Energy Agency\, Vinnova\, EU Horizon\, Wallenberg WASP\, C3.ai\, Microsof
 t\, Digital Futures\,etc. She is Vice Chair in IEEE Power and Energy Socie
 ty &amp; Power Electronics Society\, Sweden\, and an Associate Editor for IEEE
  Transactions on Smart Grid\, IEEE Transactions on Transportation Electrif
 ication and IEEE Journal of Emerging and Selected Topics in Power Electron
 ics. She is recipient of 1st place winner of Nordic Energy Challenge 2022\
 , Excellent Doctorate Research Work in Nanyang Technological University\, 
 Best paper award in IEEE PEDG 2020\, etc. Her research work &quot;Smart microgr
 id for sustainable communities&quot; is selected by Royal Swedish Academy of En
 gineering Sciences (IVA) 100 list\, 2023.\n\nBldg: School of Engineering B
 uilding (Y8)\, Room 127\, University of Birmingham.\, Birmingham.\, Englan
 d\, United Kingdom
LOCATION:Bldg: School of Engineering Building (Y8)\, Room 127\, University 
 of Birmingham.\, Birmingham.\, England\, United Kingdom
ORGANIZER:zxj548@student.bham.ac.uk
SEQUENCE:16
SUMMARY:AI and Digitalization as Enablers of the Clean Energy Transition
URL;VALUE=URI:https://events.vtools.ieee.org/m/422748
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;xmsonormal&quot; style=&quot;margin: 0cm\; ba
 ckground: white\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot; style=&quot;margin: 0cm\;
  background: white\;&quot;&gt;&lt;img style=&quot;display: block\; margin-left: auto\; mar
 gin-right: auto\;&quot; src=&quot;https://events.vtools.ieee.org/vtools_ui/media/dis
 play/d57de9ec-6caa-43ff-824a-c2319f4043e5&quot; width=&quot;899&quot; height=&quot;448&quot;&gt;&lt;/p&gt;\n
 &lt;p class=&quot;xmsonormal&quot; style=&quot;margin: 0cm\; background: white\;&quot;&gt;&lt;span styl
 e=&quot;font-size: 11.0pt\; font-family: &#39;Aptos&#39;\,sans-serif\; mso-fareast-font
 -family: 等线\; color: #212121\; border: none windowtext 1.0pt\; mso-bor
 der-alt: none windowtext 0cm\; padding: 0cm\;&quot;&gt;Abstract:&lt;/span&gt;&lt;/p&gt;\n&lt;p cl
 ass=&quot;xmsonormal&quot; style=&quot;margin: 0cm\; background: white\;&quot;&gt;&lt;span style=&quot;fo
 nt-size: 11.0pt\; font-family: &#39;Aptos&#39;\,sans-serif\; mso-fareast-font-fami
 ly: 等线\; color: #212121\; border: none windowtext 1.0pt\; mso-border-a
 lt: none windowtext 0cm\; padding: 0cm\;&quot;&gt;Facing the complex challenge of 
 transitioning to clean energy\, we must integrate renewables\, ensure grid
  stability\, and manage energy resources effectively. This lecture will ex
 plore AI&#39;s transformative impact in this sector. She will address how AI n
 avigates challenges like renewable integration\, power converter integrati
 on and maintaining grid balance\, and how it can effectively coordinate gr
 id\, thus enhancing renewable integration with grid security. She will pre
 sent AI&amp;rsquo\;s role in modeling of power converter dominated grids as we
 ll as safe deep reinforcement learning for grid control to improve perform
 ance.&amp;nbsp\;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot; style=&quot;margin: 0cm\;
  background: white\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot; style=&quot;margin: 0c
 m\; background: white\;&quot;&gt;&lt;span style=&quot;font-size: 11.0pt\; font-family: &#39;Ap
 tos&#39;\,sans-serif\; mso-fareast-font-family: 等线\; color: #212121\; bord
 er: none windowtext 1.0pt\; mso-border-alt: none windowtext 0cm\; padding:
  0cm\;&quot;&gt;Bio:&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot; style=&quot;margin: 0cm\;
  background: white\;&quot;&gt;&lt;span style=&quot;font-size: 11.0pt\; font-family: &#39;Aptos
 &#39;\,sans-serif\; mso-fareast-font-family: 等线\; color: #212121\; border:
  none windowtext 1.0pt\; mso-border-alt: none windowtext 0cm\; padding: 0c
 m\;&quot;&gt;Qianwen&amp;nbsp\;Xu&amp;nbsp\;is Associate Professor at KTH Royal Institute 
 of Technology\, Sweden. She is the director of Intelligent Sustainable Gri
 d (ISG) Lab @ KTH\, and co-director of Dig-it Lab (Vinnova competence cent
 er). Her research interests include advanced control\, optimization and ar
 tificial intelligence application of sustainable power systems and microgr
 ids. As PI\, She has received over 50 million sek funding from Swedish Res
 earch Council\, Swedish Energy Agency\, Vinnova\, EU Horizon\, Wallenberg 
 WASP\,&amp;nbsp\;C3.ai\, Microsoft\, Digital Futures\,etc. She is Vice Chair i
 n IEEE Power and Energy Society &amp;amp\; Power Electronics Society\, Sweden\
 , and an Associate Editor for IEEE Transactions on Smart Grid\, IEEE Trans
 actions on Transportation Electrification and IEEE Journal of Emerging and
  Selected Topics in Power Electronics. She is recipient of 1st place winne
 r of Nordic Energy Challenge 2022\, Excellent Doctorate Research Work in N
 anyang Technological University\, Best paper award in IEEE PEDG 2020\, etc
 . Her research work &quot;Smart microgrid for sustainable communities&quot; is selec
 ted by Royal Swedish Academy of Engineering Sciences (IVA) 100 list\, 2023
 .&lt;/span&gt;&lt;/p&gt;
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