BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Tbilisi
BEGIN:DAYLIGHT
DTSTART:20380119T071407
TZOFFSETFROM:+0400
TZOFFSETTO:+0400
RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1
TZNAME:+04
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BEGIN:STANDARD
DTSTART:20050327T030000
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TZOFFSETTO:+0400
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:+04
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BEGIN:VEVENT
DTSTAMP:20250315T094646Z
UID:6124CB9A-F61C-44ED-8D02-BF55C8E6B38B
DTSTART;TZID=Asia/Tbilisi:20251029T123000
DTEND;TZID=Asia/Tbilisi:20251029T140000
DESCRIPTION:This workshop explores the latest advancements in power systems
  analysis driven by Artificial Intelligence (AI). The session will cover A
 I-based techniques for load forecasting\, fault detection\, grid optimizat
 ion\, and renewable energy integration. Participants will gain insights in
 to machine learning algorithms\, data-driven decision-making\, and AI tool
 s used to enhance power system efficiency and reliability. The workshop wi
 ll include practical demonstrations and discussions on how AI is shaping t
 he future of smart grids and energy management.\n\nRoom: CE-101D\, Dhofar 
 University College of Engineering\, salalah\, Oman\, Oman\, 211
LOCATION:Room: CE-101D\, Dhofar University College of Engineering\, salalah
 \, Oman\, Oman\, 211
ORGANIZER:ebarhoumi@du.edu.om
SEQUENCE:7
SUMMARY:AI-Powered Trends in Power Systems Analysis: Applications and Futur
 e Prospects
URL;VALUE=URI:https://events.vtools.ieee.org/m/475610
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;This workshop explores the latest advancem
 ents in &lt;strong data-start=&quot;284&quot; data-end=&quot;310&quot;&gt;power systems analysis&lt;/st
 rong&gt; driven by &lt;strong data-start=&quot;321&quot; data-end=&quot;353&quot; data-is-only-node=
 &quot;&quot;&gt;Artificial Intelligence (AI)&lt;/strong&gt;. The session will cover AI-based 
 techniques for &lt;strong data-start=&quot;432&quot; data-end=&quot;522&quot;&gt;load forecasting\, 
 fault detection\, grid optimization\, and renewable energy integration&lt;/st
 rong&gt;. Participants will gain insights into &lt;strong data-start=&quot;561&quot; data-
 end=&quot;635&quot;&gt;machine learning algorithms\, data-driven decision-making\, and 
 AI tools&lt;/strong&gt; used to enhance power system efficiency and reliability.
  The workshop will include practical demonstrations and discussions on how
  AI is shaping the future of smart grids and energy management.&lt;/p&gt;
END:VEVENT
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