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BEGIN:DAYLIGHT
DTSTART:20210314T030000
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DTSTART:20211107T010000
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BEGIN:VEVENT
DTSTAMP:20210618T212619Z
UID:027773B7-8A7F-4E33-814B-A38F8F9C8354
DTSTART;TZID=US/Eastern:20210611T120000
DTEND;TZID=US/Eastern:20210611T133000
DESCRIPTION:IEEE PES Cleveland Chapter\, Columbus Chapter\, and PES Region 
 2 are co-sponsoring this webinar for power transformer management and one 
 PDH will be offerred for qualified attendees.\n\nSeetalabs is an innovativ
 e startup founded in Turin\, Italy\, in October 2020 for developing and pr
 oviding predictive maintenance tools for large power transformers.\n\nAn o
 ptimum maintenance strategy for Power transformers is the key to avoiding 
 failures\, unplanned downtime and above all\, economic\, social and enviro
 nmental damages due to unexpected outages. For this reason\, Seetalabs has
  developed the world&#39;s first predictive analytics model based on artificia
 l intelligence (AI/Machine Learning supervised algorithm) to drastically r
 educe the risk of unscheduled downtime of power transformers.\n\nRONIN is 
 a cloud platform\, designed for real-time evaluation of the health index o
 f power transformers through readily available data for fleets of 10 to 10
 \,000 transformers connected to a national grid.\n\nThe speaker\, Mr. Ales
 sandro Capo is a co-founder of the company and would provide a general des
 cription of the following topics in this presentation:\n\n- Transformer He
 alth Indexing: CIGRE standards\n- Modeling\n- Scope of Machine Learning (M
 L): general description\n- On the accuracy and precision in ML\n- Introduc
 tion to SeetaLabs - RONIN\n- Live demonstration of SeetaLabs - RONIN\n- Qu
 estions &amp; Answers\n\nCo-sponsored by: IEEE PES Region 2\n\nSpeaker(s): Ale
 ssandro\, \n\nAgenda: \n11:55 am - 12:00 pm: Welcome &amp; Introduction\n\n12:
 00 am - 13:00 pm: Lecture\n\n13:00 pm - 13:30 pm: Q&amp;A\n\nVirtual\, Ohio\, 
 United States\, Virtual: https://events.vtools.ieee.org/m/272486
LOCATION:Virtual\, Ohio\, United States\, Virtual: https://events.vtools.ie
 ee.org/m/272486
ORGANIZER:wu.3018@osu.edu
SEQUENCE:4
SUMMARY:PES Webinar: Intelligent Power Transformer Fleet Management
URL;VALUE=URI:https://events.vtools.ieee.org/m/272486
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;IEEE PES Cleveland Chapter\, Colum
 bus Chapter\, and PES Region 2 are co-sponsoring this webinar for power tr
 ansformer management and one PDH will be offerred for qualified attendees.
 &lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Seetalabs is an innovative startup founded in Turin\, It
 aly\, in October 2020 for developing and providing predictive maintenance 
 tools for large power transformers.&lt;/p&gt;\n&lt;p&gt;An optimum maintenance strateg
 y for Power transformers is the key to avoiding failures\, unplanned downt
 ime and above all\, economic\, social and environmental damages due to une
 xpected outages. For this reason\, Seetalabs has developed the world&#39;s fir
 st predictive analytics model based on artificial intelligence (AI/Machine
  Learning supervised algorithm) to drastically reduce the risk of unschedu
 led downtime of power transformers.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;RONIN&lt;/strong&gt; is a cl
 oud platform\, designed for real-time evaluation of the health index of po
 wer transformers through readily available data for fleets of 10 to 10\,00
 0 transformers connected to a national grid.&lt;/p&gt;\n&lt;p&gt;The speaker\, Mr. Ale
 ssandro Capo is a co-founder of the company and would provide a general de
 scription of the following topics in this presentation:&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;Tra
 nsformer Health Indexing: CIGRE standards&lt;/li&gt;\n&lt;li&gt;Modeling&lt;/li&gt;\n&lt;li&gt;Sco
 pe of Machine Learning (ML): general description&lt;/li&gt;\n&lt;li&gt;On the accuracy
  and precision in ML&lt;/li&gt;\n&lt;li&gt;Introduction to SeetaLabs - RONIN&lt;/li&gt;\n&lt;li
 &gt;Live demonstration of SeetaLabs - RONIN&lt;/li&gt;\n&lt;li&gt;Questions &amp;amp\; Answer
 s&lt;/li&gt;\n&lt;/ul&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;11:55 am - 12:00 pm: Wel
 come &amp;amp\; Introduction&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;12:00 am - 13:00 pm: Lec
 ture&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;13:00 pm - 13:30 pm: Q&amp;amp\;A&lt;/strong&gt;&lt;/p&gt;
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