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DESCRIPTION:The IEEE Sustainable Energy and Intelligent Engineering Society
  (SEIES)\, Okinawa\, Japan\, in collaboration with the Research and Educat
 ion Promotion Association (REPA) LLC\, USA\, organized a technical seminar
  on the application of artificial intelligence in energy systems. The semi
 nar provided a platform for participants to explore AI-driven solutions fo
 r emission reduction\, smart infrastructure\, and enhanced energy efficien
 cy.\n\nKey discussions included intelligent optimization of power plants\,
  predictive maintenance with machine learning\, and AI-assisted integratio
 n of renewable energy. The seminar aligned with the United Nations Sustain
 able Development Goals (SDGs) by emphasizing sustainable energy systems an
 d climate change mitigation.\n\nThe event successfully brought together re
 searchers\, students\, and professionals\, fostering international collabo
 ration and knowledge exchange.\n\nCo-sponsored by: Dr. Mir Sayed Shah Dani
 sh\n\nSpeaker(s): Danish\n\nAgenda: \n-\nWelcome &amp; Opening Remarks\n\n-\nK
 eynote Presentation: AI-Driven Frameworks for Energy Efficiency\n\n-\nTech
 nical Session 1: Emission Reduction through AI Applications\n\n-\nTechnica
 l Session 2: Smart Energy Infrastructure and Optimization\n\n-\nInteractiv
 e Q&amp;A and Discussion\n\n-\nClosing Remarks\n\nBldg: Warren Hall\, Universi
 ty of San Diego (USD)\, 5998 Alcala Park\, San Diego\, California\, United
  States\, 92110\, Virtual: https://events.vtools.ieee.org/m/501820
LOCATION:Bldg: Warren Hall\, University of San Diego (USD)\, 5998 Alcala Pa
 rk\, San Diego\, California\, United States\, 92110\, Virtual: https://eve
 nts.vtools.ieee.org/m/501820
ORGANIZER:danish@ieee-seies.org
SEQUENCE:2
SUMMARY:AI-Driven Machine Learning Framework: Optimizing Emissions &amp; Energy
  Efficiency in Power Plants
URL;VALUE=URI:https://events.vtools.ieee.org/m/501820
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;310&quot; data-end=&quot;741&quot;&gt;The IEEE S
 ustainable Energy and Intelligent Engineering Society (SEIES)\, Okinawa\, 
 Japan\, in collaboration with the Research and Education Promotion Associa
 tion (REPA) LLC\, USA\, organized a technical seminar on the application o
 f artificial intelligence in energy systems. The seminar provided a platfo
 rm for participants to explore AI-driven solutions for emission reduction\
 , smart infrastructure\, and enhanced energy efficiency.&lt;/p&gt;\n&lt;p data-star
 t=&quot;743&quot; data-end=&quot;1060&quot;&gt;Key discussions included intelligent optimization 
 of power plants\, predictive maintenance with machine learning\, and AI-as
 sisted integration of renewable energy. The seminar aligned with the Unite
 d Nations Sustainable Development Goals (SDGs) by emphasizing sustainable 
 energy systems and climate change mitigation.&lt;/p&gt;\n&lt;p data-start=&quot;1062&quot; da
 ta-end=&quot;1207&quot;&gt;The event successfully brought together researchers\, studen
 ts\, and professionals\, fostering international collaboration and knowled
 ge exchange.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;ul&gt;\n&lt;li data-start=&quot;1227&quot; data
 -end=&quot;1256&quot;&gt;\n&lt;p data-start=&quot;1229&quot; data-end=&quot;1256&quot;&gt;Welcome &amp;amp\; Opening 
 Remarks&lt;/p&gt;\n&lt;/li&gt;\n&lt;li data-start=&quot;1257&quot; data-end=&quot;1327&quot;&gt;\n&lt;p data-start=
 &quot;1259&quot; data-end=&quot;1327&quot;&gt;Keynote Presentation: &lt;em data-start=&quot;1281&quot; data-en
 d=&quot;1325&quot;&gt;AI-Driven Frameworks for Energy Efficiency&lt;/em&gt;&lt;/p&gt;\n&lt;/li&gt;\n&lt;li d
 ata-start=&quot;1328&quot; data-end=&quot;1395&quot;&gt;\n&lt;p data-start=&quot;1330&quot; data-end=&quot;1395&quot;&gt;Te
 chnical Session 1: Emission Reduction through AI Applications&lt;/p&gt;\n&lt;/li&gt;\n
 &lt;li data-start=&quot;1396&quot; data-end=&quot;1465&quot;&gt;\n&lt;p data-start=&quot;1398&quot; data-end=&quot;146
 5&quot;&gt;Technical Session 2: Smart Energy Infrastructure and Optimization&lt;/p&gt;\n
 &lt;/li&gt;\n&lt;li data-start=&quot;1466&quot; data-end=&quot;1500&quot;&gt;\n&lt;p data-start=&quot;1468&quot; data-e
 nd=&quot;1500&quot;&gt;Interactive Q&amp;amp\;A and Discussion&lt;/p&gt;\n&lt;/li&gt;\n&lt;li data-start=&quot;
 1501&quot; data-end=&quot;1520&quot;&gt;\n&lt;p data-start=&quot;1503&quot; data-end=&quot;1520&quot;&gt;Closing Remar
 ks&lt;/p&gt;\n&lt;/li&gt;\n&lt;/ul&gt;
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