BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20230312T030000 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:20240306T161442Z UID:AE82EE5A-F379-48B8-9F86-8B5D36375DF4 DTSTART;TZID=America/New_York:20231006T110000 DTEND;TZID=America/New_York:20231006T123000 DESCRIPTION:With rapid decarbonization goals and ambitious urban electrific ation targets\, the electric power grid is undergoing unprecedented change s. The proliferation of distributed energy resources and flexible loads is pushing the control and operational requirements of the grid to the edge\ , thus significantly increasing the scale and complexity of grid operation s. These grid-edge resources also hold the potential to support grid resil ience in the aftermath of extreme weather events\, which are impacting gri d more often and with higher severity. Effective use of grid-edge resource s to support decarbonization goals and resilience necessitates advances in modeling\, analysis\, and optimization of emerging electric power network s. In this talk\, we will focus on the challenges and solutions to integra ting grid-edge into grid operations. Along with traditional physics-based approaches\, we will emphasize the need for scientific machine learning te chniques to address the emerging computational challenges.\n\nCo-sponsored by: Dr. Anamika Dubey\n\nSpeaker(s): \, Anamika Dubey\n\nRoom: 3930\, EC \, 10555 West Flagler Street \, Miami\, Florida\, United States\, 33174 LOCATION:Room: 3930\, EC \, 10555 West Flagler Street \, Miami\, Florida\, United States\, 33174 ORGANIZER:vdone001@fiu.edu SEQUENCE:19 SUMMARY:Grid-edge Modeling and Optimization to support Decarbonization and Resilience URL;VALUE=URI:https://events.vtools.ieee.org/m/377058 X-ALT-DESC:Description: <br /><p>With rapid decarbonization goals and ambit ious urban electrification targets\, the electric power grid is undergoin g unprecedented changes. The proliferation of distributed energy resource s and flexible loads is pushing the control and operational requirements o f the grid to the edge\, thus significantly increasing the scale and compl exity of grid operations. These grid-edge resources also hold the potentia l to support grid resilience in the aftermath of extreme weather events\, which are impacting grid more often and with higher severity. Effective us e of grid-edge resources to support decarbonization goals and resilience n ecessitates advances in modeling\, analysis\, and optimization of emerging electric power networks. In this talk\, we will focus on the challenges a nd solutions to integrating grid-edge into grid operations. Along with tra ditional physics-based approaches\, we will emphasize the need for scient ific machine learning techniques to address the emerging computational cha llenges.</p> END:VEVENT END:VCALENDAR