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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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BEGIN:STANDARD
DTSTART:20261101T010000
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BEGIN:VEVENT
DTSTAMP:20260917T142840Z
UID:3F9BC34A-961C-4262-9529-834FED079CE3
DTSTART;TZID=America/Chicago:20261005T130000
DTEND;TZID=America/Chicago:20261005T140000
DESCRIPTION:Prof. Ian Dobson (Iowa State University) will present SALEDI\, 
 a new metric for measuring power system resilience. Standard reliability m
 etrics like SAIDI work well for everyday outages but fail for rare\, high-
 impact blackouts\, whose customer-minute impacts vary too erratically for 
 conventional statistics. SALEDI resolves this heavy-tail problem through a
  simple logarithmic transformation of standard utility outage data\, captu
 ring both the frequency and size of large events and enabling breakdown by
  cause. The talk will explore how SALEDI and related metrics can be used t
 o monitor\, improve\, and optimize grid resilience.\n\nSpeaker(s): Ian\n\n
 Room: 209\, Bldg: Daktronics Engineering Hall\, Brookings\, South Dakota\,
  United States\, 57007\, Virtual: https://events.vtools.ieee.org/m/578249
LOCATION:Room: 209\, Bldg: Daktronics Engineering Hall\, Brookings\, South 
 Dakota\, United States\, 57007\, Virtual: https://events.vtools.ieee.org/m
 /578249
ORGANIZER:junjian.qi@sdstate.edu
SEQUENCE:26
SUMMARY:Talk by Prof. Ian Dobson on &quot;A resilience metric SALEDI that comple
 ments the reliability metric SAIDI&quot;
URL;VALUE=URI:https://events.vtools.ieee.org/m/578249
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Prof. Ian Dobson (Iowa State University) w
 ill present SALEDI\, a new metric for measuring power system resilience. S
 tandard reliability metrics like SAIDI work well for everyday outages but 
 fail for rare\, high-impact blackouts\, whose customer-minute impacts vary
  too erratically for conventional statistics. SALEDI resolves this heavy-t
 ail problem through a simple logarithmic transformation of standard utilit
 y outage data\, capturing both the frequency and size of large events and 
 enabling breakdown by cause. The talk will explore how SALEDI and related 
 metrics can be used to monitor\, improve\, and optimize grid resilience.&lt;/
 p&gt;
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