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DTSTART:20231105T010000
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DTSTAMP:20230823T153941Z
UID:CF6F720D-A297-4091-93B5-3E921C42BD6E
DTSTART;TZID=America/Los_Angeles:20230816T180000
DTEND;TZID=America/Los_Angeles:20230816T200000
DESCRIPTION:Please note the start time it 6:00 PM Pacific Time. The power s
 ystem industry is shifting towards a new digitization era to better manage
  risk within volatile energy commodities\, increase customer engagement\, 
 and enhance efficiency via grid optimization. Data analytics play a vital 
 role in this transformation and\, as such\, different measurement architec
 tures have been used and implemented to facilitate data capturing process 
 and supervisory control at the generation\, transmission\, and distributio
 n levels. This seminar will briefly review the recent outcomes of some sma
 rt grid challenges addressed by novel prediction techniques. At the genera
 tion level\, decomposition techniques have been applied to handle the inhe
 rent uncertainty in short-term wind power prediction. At the transmission 
 level\, dynamic thermal line rating prediction has been studied as a viabl
 e solution to reduce congestion and utilize the actual capacity of the lin
 e. Considering the high inclusion of phasor measurement units at the trans
 mission level\, cutting-edge methods have been proposed to address stabili
 ty status prediction of the grid following a contingency. Finally\, at the
  distribution level\, real-life data obtained from advanced metering infra
 structure have been used for load prediction and customer segmentation.\n\
 nYou must register in advance on Eventbrite and keep your Eventbrite login
 . Then log in to Eventbrite 30 minutes beforehand to be linked to the zoom
  event. There is a limit to the number of participants.\n\nSpeaker(s): Pro
 f. C.Y. Chung\, \n\nAgenda: \n6:00 Welcome\, Introduction to PES/IAS chapt
 er\n\n6:10 Introduction to Prof Chung\n\n6:15 Presentation\n\n7:00 Q&A\n\n
 Virtual: https://events.vtools.ieee.org/m/368595
LOCATION:Virtual: https://events.vtools.ieee.org/m/368595
ORGANIZER:sjordan@ieee.org
SEQUENCE:126
SUMMARY:Advanced Prediction Techniques Applied to Smart Grids
URL;VALUE=URI:https://events.vtools.ieee.org/m/368595
X-ALT-DESC:Description: <br /><p>Please note the start time it 6:00 PM Paci
 fic Time.&nbsp\; The power system industry is shifting towards a new digit
 ization era to better manage risk within volatile energy commodities\, inc
 rease customer engagement\, and enhance efficiency via grid optimization. 
 Data analytics play a vital role in this transformation and\, as such\, di
 fferent measurement architectures have been used and implemented to facili
 tate data capturing process and supervisory control at the generation\, tr
 ansmission\, and distribution levels. This seminar will briefly review the
  recent outcomes of some smart grid challenges addressed by novel predicti
 on techniques. At the generation level\, decomposition techniques have bee
 n applied to handle the inherent uncertainty in short-term wind power pred
 iction. At the transmission level\, dynamic thermal line rating prediction
  has been studied as a viable solution to reduce congestion and utilize th
 e actual capacity of the line. Considering the high inclusion of phasor me
 asurement units at the transmission level\, cutting-edge methods have been
  proposed to address stability status prediction of the grid following a c
 ontingency. Finally\, at the distribution level\, real-life data obtained 
 from advanced metering infrastructure have been used for load prediction a
 nd customer segmentation.</p>\n<p><strong>You must register in advance on 
 Eventbrite and keep your Eventbrite login.&nbsp\; Then log in to Eventbrit
 e 30 minutes beforehand to be linked to the zoom event. There is a limit t
 o the number of participants.&nbsp\; </strong></p><br /><br />Agenda: <br 
 /><p>6:00 &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;&nbsp\; W
 elcome\, Introduction to PES/IAS chapter</p>\n<p>6:10 &nbsp\; &nbsp\; &nbs
 p\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; Introduction to Prof Chung</p>
 \n<p>6:15&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;&n
 bsp\; Presentation</p>\n<p>7:00 &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &n
 bsp\; &nbsp\; &nbsp\; Q&amp\;A</p>
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