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DTSTAMP:20251103T162112Z
UID:6BCB5CB2-E4A3-4C50-8059-77FA16A1B29E
DTSTART;TZID=Europe/Copenhagen:20251029T110000
DTEND;TZID=Europe/Copenhagen:20251029T120000
DESCRIPTION:Professor Ramteen Sioshansi ([Homepage](https://eur01.safelinks
 .protection.outlook.com/?url=https%3A%2F%2Fwww.cmu.edu%2Fceic%2Fpeople%2Fr
 sioshan%2Findex.html&amp;data=05%7C02%7Ctweck%40dtu.dk%7C28c26aa23aec411d944e0
 8de0a3d8645%7Cf251f123c9ce448e927734bb285911d9%7C0%7C0%7C63895945654494494
 3%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAi
 OiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=9022wfekpX
 TW9UEsM3flHA%2BFy9dblT2Sfnjw8Tq9PQM%3D&amp;reserved=0) | [Google Scholar](http
 s://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.goog
 le.com%2Fcitations%3Fuser%3DpBEw09IAAAAJ%26hl%3Den&amp;data=05%7C02%7Ctweck%40
 dtu.dk%7C28c26aa23aec411d944e08de0a3d8645%7Cf251f123c9ce448e927734bb285911
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 ved=0) | [Bio](https://eur01.safelinks.protection.outlook.com/?url=https%3
 A%2F%2Fepp.engineering.cmu.edu%2Fdirectory%2Fbios%2Fsioshansi-ramteen.html
 &amp;data=05%7C02%7Ctweck%40dtu.dk%7C28c26aa23aec411d944e08de0a3d8645%7Cf251f1
 23c9ce448e927734bb285911d9%7C0%7C0%7C638959456544977979%7CUnknown%7CTWFpbG
 Zsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoi
 TWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=7%2BcSPDqM5hh6sJ9bjbK7YVij1XcB
 nGIfjQwjh9GsIR8%3D&amp;reserved=0))\, IEEE Fellow\, one of the leading scholar
 s in power system operation and electricity markets from Carnegie Mellon U
 niversity\, will visit DTU Wind and Energy Systems on October 29 and give 
 a seminar. IEEE PES Denmark has the pleasure to co-host this event.\n\nAbs
 tract:\nExtreme weather is straining electricity systems\, exposing the li
 mitations of reactive responses\, and prompting the need for proactive res
 ilience planning. Most existing approaches to enhance electricity-system r
 esilience employ simplified uncertainty models and decouple proactive and 
 reactive decisions. We propose a novel tri-level optimization model that i
 ntegrates proactive actions\, adversarial disruptions\, and reactive respo
 nses. Conformal prediction is used to construct distribution-free system-d
 isruption uncertainty sets with coverage guarantees. The tri-level problem
  is solved by using duality theory to derive a bi-level reformulation and 
 employing Benders’s decomposition. Numerical experiments demonstrate tha
 t our approach outperforms conventional methods.\n\nCo-sponsored by: DTU W
 ind and Energy Systems\n\nSpeaker(s): Prof. Ramteen Sioshansi\n\nAgenda: \
 n- Welcome by Prof. Jalal Kazempour\, Head of Section\, Energy Markets &amp; A
 nalytics\, DTU Wind and Energy Systems\n- Professor Ramteen Sioshansi: Enh
 ancing Electricity-System Resilience with Adaptive Robust Optimization and
  Conformal Uncertainty Characterization\n- Conclusion\n\nVirtual: https://
 events.vtools.ieee.org/m/507078
LOCATION:Virtual: https://events.vtools.ieee.org/m/507078
ORGANIZER:tweck@dtu.dk
SEQUENCE:17
SUMMARY:Enhancing Electricity-System Resilience with Adaptive Robust Optimi
 zation and Conformal Uncertainty Characterization
URL;VALUE=URI:https://events.vtools.ieee.org/m/507078
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;&lt;span lang=&quot;EN-US&quot; data-olk-copy-s
 ource=&quot;MessageBody&quot;&gt;Professor&amp;nbsp\;&lt;/span&gt;Ramteen Sioshansi&lt;/strong&gt;&amp;nbsp
 \;(&lt;span lang=&quot;EN-US&quot;&gt;&lt;a title=&quot;Oprindelig URL-adresse: https://www.cmu.ed
 u/ceic/people/rsioshan/index.html. Klik eller tryk\, hvis du har tillid ti
 l dette link.&quot; href=&quot;https://eur01.safelinks.protection.outlook.com/?url=h
 ttps%3A%2F%2Fwww.cmu.edu%2Fceic%2Fpeople%2Frsioshan%2Findex.html&amp;amp\;data
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 er&quot; data-auth=&quot;NotApplicable&quot; data-linkindex=&quot;0&quot;&gt;Homepage&lt;/a&gt;&lt;span class=&quot;
 x_apple-converted-space&quot;&gt;&amp;nbsp\;&lt;/span&gt;|&lt;span class=&quot;x_apple-converted-spa
 ce&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;a title=&quot;Oprindelig URL-adresse: https://scholar.google
 .com/citations?user=pBEw09IAAAAJ&amp;amp\;hl=en. Klik eller tryk\, hvis du har
  tillid til dette link.&quot; href=&quot;https://eur01.safelinks.protection.outlook.
 com/?url=https%3A%2F%2Fscholar.google.com%2Fcitations%3Fuser%3DpBEw09IAAAA
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 el=&quot;noopener noreferrer&quot; data-auth=&quot;NotApplicable&quot; data-linkindex=&quot;1&quot;&gt;Goog
 le Scholar&lt;/a&gt;&amp;nbsp\;|&amp;nbsp\;&lt;a title=&quot;Oprindelig URL-adresse: https://epp
 .engineering.cmu.edu/directory/bios/sioshansi-ramteen.html. Klik eller try
 k\, hvis du har tillid til dette link.&quot; href=&quot;https://eur01.safelinks.prot
 ection.outlook.com/?url=https%3A%2F%2Fepp.engineering.cmu.edu%2Fdirectory%
 2Fbios%2Fsioshansi-ramteen.html&amp;amp\;data=05%7C02%7Ctweck%40dtu.dk%7C28c26
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 0&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot; data-auth=&quot;NotApplicable&quot; dat
 a-linkindex=&quot;2&quot;&gt;Bio&lt;/a&gt;&lt;/span&gt;)\,&amp;nbsp\;&lt;span lang=&quot;EN-US&quot;&gt;IEEE Fellow\,&amp;n
 bsp\;&lt;/span&gt;one of the leading scholars in power system operation and elec
 tricity markets from Carnegie Mellon University\, will visit &lt;strong&gt;DTU W
 ind and Energy Systems &lt;/strong&gt;on October 29 and give a seminar. IEEE PES
  Denmark has the pleasure to co-host this event.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Ab
 stract&lt;/strong&gt;:&lt;br&gt;&lt;span data-olk-copy-source=&quot;MessageBody&quot;&gt;Extreme weath
 er is straining electricity systems\, exposing the limitations of reactive
  responses\, and prompting the need for proactive resilience planning. Mos
 t existing approaches to enhance electricity-system resilience employ simp
 lified uncertainty models and decouple proactive and reactive decisions. W
 e propose a novel tri-level optimization model that integrates proactive a
 ctions\, adversarial disruptions\, and reactive responses. Conformal predi
 ction is used to construct distribution-free system-disruption uncertainty
  sets with coverage guarantees. The tri-level problem is solved by using d
 uality theory to derive a bi-level reformulation and employing Benders&amp;rsq
 uo\;s decomposition. Numerical experiments demonstrate that our approach o
 utperforms conventional methods.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Age
 nda: &lt;br /&gt;&lt;ul&gt;\n&lt;li&gt;Welcome by Prof.&amp;nbsp\;Jalal Kazempour\, Head of Sect
 ion\, Energy Markets &amp;amp\; Analytics\, DTU Wind and Energy Systems&lt;/li&gt;\n
 &lt;li&gt;&lt;span lang=&quot;EN-US&quot; data-olk-copy-source=&quot;MessageBody&quot;&gt;Professor&amp;nbsp\;
 &lt;/span&gt;Ramteen Sioshansi: &lt;span data-olk-copy-source=&quot;MessageBody&quot;&gt;Enhanci
 ng Electricity-System Resilience with Adaptive Robust Optimization and Con
 formal Uncertainty Characterization&lt;/span&gt;&lt;/li&gt;\n&lt;li&gt;&lt;span data-olk-copy-s
 ource=&quot;MessageBody&quot;&gt;Conclusion&lt;/span&gt;&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
END:VEVENT
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