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DTSTAMP:20260605T003640Z
UID:5F94B617-F126-47DD-8394-13EA5A0FB586
DTSTART;TZID=Australia/Sydney:20260602T110000
DTEND;TZID=Australia/Sydney:20260602T130000
DESCRIPTION:ETAP Electrical AI Copilot – Revolutionizing Power Engineerin
 g with Generative AI and LLMs\n\nLarge Language Models (LLMs) are rapidly 
 emerging as transformative technologies across many industries\, including
  power system engineering and operations. The Electrical AI Copilot concep
 t envisions an intelligent assistant that leverages LLMs to support grid e
 ngineers and operators in real time by enhancing decision-making\, situati
 onal awareness\, operational efficiency\, and engineering productivity.\n\
 nBy integrating domain-specific knowledge\, operational procedures\, and e
 ngineering calculation engines\, an Electrical AI Copilot can assist power
  engineers in addressing technical queries\, performing studies and simula
 tions\, supporting autonomous decision-making and control\, summarizing re
 ports\, and enabling a wide range of tasks across the power grid ecosystem
 .\n\nThis webinar will present the ETAP Electrical AI Copilot\, demonstrat
 ing how generative AI and LLM technologies can transform power system anal
 ysis\, operations\, and engineering workflows.\n\nPresenter:\nAhmed Saber\
 , PhD\nVP Optimization and AI\, ETAP\, USA\nAhmed Saber is a power systems
  expert specializing in AI/ML applications in power engineering\, Electric
 al Copilot technologies\, smart grids\, distributed energy resources\, ene
 rgy storage\, Volt-VAR optimization\, EV integration\, power system optimi
 zation\, forecasting\, and intelligent grid operations. He has authored ov
 er 100 research articles\, holds multiple patents\, and has served as Gues
 t Editor-in-Chief for a special issue in IEEE Transactions on Sustainable 
 Energy.\n\nSpeaker(s): Ahmed Saber\, \n\nAgenda: \n11:00–11:10 AM (Sydne
 y) — Welcome &amp; Introduction\n11:10–12:10 AM — Technical Talk: ETAP E
 lectrical AI Copilot\n12:10–12:30 PM — Q&amp;A Session\n\nVirtual: https:/
 /events.vtools.ieee.org/m/561219
LOCATION:Virtual: https://events.vtools.ieee.org/m/561219
ORGANIZER:mfh348@uowmail.edu.au
SEQUENCE:97
SUMMARY:ETAP Electrical AI Copilot – Revolutionizing Power Engineering wi
 th Generative AI and LLMs
URL;VALUE=URI:https://events.vtools.ieee.org/m/561219
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;295&quot; data-end=&quot;389&quot;&gt;&lt;strong da
 ta-start=&quot;295&quot; data-end=&quot;389&quot;&gt;ETAP Electrical AI Copilot &amp;ndash\; Revoluti
 onizing Power Engineering with Generative AI and LLMs&lt;/strong&gt;&lt;/p&gt;\n&lt;p dat
 a-start=&quot;391&quot; data-end=&quot;797&quot;&gt;Large Language Models (LLMs) are rapidly emer
 ging as transformative technologies across many industries\, including pow
 er system engineering and operations. The &lt;em data-start=&quot;551&quot; data-end=&quot;5
 74&quot;&gt;Electrical AI Copilot&lt;/em&gt; concept envisions an intelligent assistant 
 that leverages LLMs to support grid engineers and operators in real time b
 y enhancing decision-making\, situational awareness\, operational efficien
 cy\, and engineering productivity.&lt;/p&gt;\n&lt;p data-start=&quot;799&quot; data-end=&quot;1162
 &quot;&gt;By integrating domain-specific knowledge\, operational procedures\, and 
 engineering calculation engines\, an Electrical AI Copilot can assist powe
 r engineers in addressing technical queries\, performing studies and simul
 ations\, supporting autonomous decision-making and control\, summarizing r
 eports\, and enabling a wide range of tasks across the power grid ecosyste
 m.&lt;/p&gt;\n&lt;p data-start=&quot;1164&quot; data-end=&quot;1354&quot;&gt;This webinar will present the
  &lt;strong data-start=&quot;1194&quot; data-end=&quot;1224&quot;&gt;ETAP Electrical AI Copilot&lt;/str
 ong&gt;\, demonstrating how generative AI and LLM technologies can transform 
 power system analysis\, operations\, and engineering workflows.&lt;/p&gt;\n&lt;p da
 ta-start=&quot;1356&quot; data-end=&quot;1904&quot;&gt;&lt;strong data-start=&quot;1356&quot; data-end=&quot;1370&quot;&gt;
 Presenter:&lt;/strong&gt;&lt;br data-start=&quot;1370&quot; data-end=&quot;1373&quot;&gt;&lt;strong data-star
 t=&quot;1373&quot; data-end=&quot;1393&quot;&gt;Ahmed Saber\, PhD&lt;/strong&gt;&lt;br data-start=&quot;1393&quot; d
 ata-end=&quot;1396&quot;&gt;VP Optimization and AI\, ETAP\, USA&lt;br data-start=&quot;1429&quot; da
 ta-end=&quot;1432&quot;&gt;Ahmed Saber is a power systems expert specializing in AI/ML 
 applications in power engineering\, Electrical Copilot technologies\, smar
 t grids\, distributed energy resources\, energy storage\, Volt-VAR optimiz
 ation\, EV integration\, power system optimization\, forecasting\, and int
 elligent grid operations. He has authored over 100 research articles\, hol
 ds multiple patents\, and has served as Guest Editor-in-Chief for a specia
 l issue in &lt;em data-start=&quot;1862&quot; data-end=&quot;1903&quot;&gt;IEEE Transactions on Sust
 ainable Energy&lt;/em&gt;.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;&lt;strong data-start=&quot;8
 31&quot; data-end=&quot;858&quot;&gt;11:00&amp;ndash\;11:10 AM (Sydney)&lt;/strong&gt; &amp;mdash\; Welcom
 e &amp;amp\; Introduction&lt;br data-start=&quot;883&quot; data-end=&quot;886&quot;&gt;&lt;strong data-star
 t=&quot;886&quot; data-end=&quot;904&quot;&gt;11:10&amp;ndash\;12:10 AM&lt;/strong&gt; &amp;mdash\; Technical T
 alk: ETAP Electrical AI Copilot&lt;br data-start=&quot;949&quot; data-end=&quot;952&quot;&gt;&lt;strong
  data-start=&quot;952&quot; data-end=&quot;970&quot;&gt;12:10&amp;ndash\;12:30 PM&lt;/strong&gt; &amp;mdash\; Q
 &amp;amp\;A Session&lt;/p&gt;
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