BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20231221T140107Z UID:7436B56C-E9E6-4915-BF7A-7F0157E45EBA DTSTART;TZID=US/Eastern:20231214T110000 DTEND;TZID=US/Eastern:20231214T124500 DESCRIPTION:Exelon's Infrastructure and Safety Analytics team is helping de velop analytic insights to support Distribution\, Transmission\, Operation optimizations to drive reliability\, resiliency\, cost benefits for grid investments and enhancing organization safety by moving from lagging to le ading indicators. This webinar will focus on a T&S Advanced Analytics proj ect\, to showcase the importance of investment during project ideation on adoption strategy\, creating actionable insights\, empowering business/ en gineers to lead and take active role in analytic projects\, how to identif y change management and external dependencies upfront as part of analytics prioritization. Utilities have been heavily reliant on subject matter kno wledge in the last century to drive preventive maintenance (PM) program an d schedule PM for a variety of assets. Our engineers are experts in the in dustry and have leveraged their and industry knowledge of asset measuremen ts and inspection results to manage these programs\, however\, as human be ings\, we are limited in terms of considering a variety of factors and ass essing the distribution of each factor. This is where data driven approach es shine and enables subject matter experts with checking million to billi on combinations to come up with the best model to predict future. These mo dels can then be used to supplement engineer knowledge\, and support indus try-wide acceptance of a systematic approach to transition to condition-ba sed maintenance programs. The latest model was validated against business- as-usual to provide 85% accuracy using success criteria developed for this project. PECO’s team is quantifying and confirming the benefits of the model output to extract technical and data science success\, including tha t the model can be used in the real world for “what would we do differen tly”.\n\nCo-sponsored by: Alan Ott\, PES Chapter Chair\n\nSpeaker(s): Po -Chen Chen\n\nAgenda: \nDownload The Flyer Linked Below in the MEDIA Secti on for Complete Details and Event Meeting Link.\n\nInstructors:\n\n- Po-Ch en Chen - Exelon\n\nSeminar Outline:\n\n11:00 am to 10:10 am Opening Remar ks\n11:10 am to 12:30 pm Insight to Action – Grid Analytics Journey\n12: 30 pm to 12:40 pm Question and Answer\n12:40 pm to 12:45 pm Chapter Announ cement\n\nIEEE membership is not required to attend this seminar.\n\nVirtu al: https://events.vtools.ieee.org/m/387282 LOCATION:Virtual: https://events.vtools.ieee.org/m/387282 ORGANIZER:alan.ott@dominionenergy.com SEQUENCE:34 SUMMARY:Insight to Action – Grid Analytics Journey URL;VALUE=URI:https://events.vtools.ieee.org/m/387282 X-ALT-DESC:Description: <br /><p>Exelon's Infrastructure and Safety Analyti cs team is helping develop analytic insights to support Distribution\, Tra nsmission\, Operation optimizations to drive reliability\, resiliency\, co st benefits for grid investments and enhancing organization safety by movi ng from lagging to leading indicators. This webinar will focus on a T&amp\ ;S Advanced Analytics project\, to showcase the importance of investment d uring project ideation on adoption strategy\, creating actionable insights \, empowering business/ engineers to lead and take active role in analytic projects\, how to identify change management and external dependencies up front as part of analytics prioritization. Utilities have been heavily rel iant on subject matter knowledge in the last century to drive preventive m aintenance (PM) program and schedule PM for a variety of assets. Our engin eers are experts in the industry and have leveraged their and industry kno wledge of asset measurements and inspection results to manage these progra ms\, however\, as human beings\, we are limited in terms of considering a variety of factors and assessing the distribution of each factor. This is where data driven approaches shine and enables subject matter experts with checking million to billion combinations to come up with the best model t o predict future. These models can then be used to supplement engineer kno wledge\, and support industry-wide acceptance of a systematic approach to transition to condition-based maintenance programs. The latest model was v alidated against business-as-usual to provide 85% accuracy using success c riteria developed for this project. PECO&rsquo\;s team is quantifying and confirming the benefits of the model output to extract technical and data science success\, including that the model can be used in the real world f or &ldquo\;what would we do differently&rdquo\;.</p>\n<p>&nbsp\;</p><br /> <br />Agenda: <br /><p><span style="color: #ff0000\;"><strong><u>Download The Flyer Linked Below in the MEDIA Section for Complete Details and Event Meeting Link.</u></strong></span><u></u></p>\n<p><strong><u>Instructors:< /u></strong></p>\n<ul>\n<li>Po-Chen Chen - Exelon</li>\n</ul>\n<p><strong> <u>Seminar Outline:</u></strong></p>\n<p>11:00 am to 10:10 am &nbsp\; &nbs p\; &nbsp\; &nbsp\; &nbsp\; Opening Remarks&nbsp\;<br />11:10 am to 12:30 pm&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Insight to Action &ndash\ ; Grid Analytics Journey &nbsp\;<br />12:30 pm to 12:40 pm&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; Question and Answer&nbsp\;<br />12:40 pm to 12:45 pm&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; Chapter Announcement&nbsp\;</p>\ n<p>IEEE membership is not required to attend this seminar.</p>\n<p>&nbsp\ ;</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR