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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Australia/Brisbane
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DTSTART:19920301T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
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BEGIN:VEVENT
DTSTAMP:20231031T093858Z
UID:4E12C732-90BC-4921-A4C2-7F3465B599FB
DTSTART;TZID=Australia/Brisbane:20231031T170000
DTEND;TZID=Australia/Brisbane:20231031T180000
DESCRIPTION:Big Data in Power Systems refers to the utilization of vast and
  complex datasets to enhance the efficiency\, reliability\, and sustainabi
 lity of electrical grids. By analyzing massive amounts of information from
  sensors\, smart meters\, and other sources\, power utilities can make dat
 a-driven decisions to optimize energy generation\, distribution\, and cons
 umption. This technology plays a pivotal role in modernizing the power sec
 tor and supporting the integration of renewable energy sources.\n\nThis Te
 chnical talk presents How Big Data used in several industry applications i
 n Power System.\n\nCo-sponsored by: IEEE Young Professionals Queensland Se
 ction\n\nSpeaker(s): Dr Lakshitha Naranpanawe\, \n\nAgenda: \n5.00-5.05 PM
  : Speaker Introduction\n5.05-5.45 PM : Big Data in Power Systems\n\n5.45-
 6.00 PM: Q&A Session\n\nVirtual: https://events.vtools.ieee.org/m/380878
LOCATION:Virtual: https://events.vtools.ieee.org/m/380878
ORGANIZER:wmsc.samarasinghe@gmail.com
SEQUENCE:1
SUMMARY:Big Data in Power Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/380878
X-ALT-DESC:Description: <br /><p>Big Data in Power Systems refers to the ut
 ilization of vast and complex datasets to enhance the efficiency\, reliabi
 lity\, and sustainability of electrical grids. By analyzing massive amount
 s of information from sensors\, smart meters\, and other sources\, power u
 tilities can make data-driven decisions to optimize energy generation\, di
 stribution\, and consumption. This technology plays a pivotal role in mode
 rnizing the power sector and supporting the integration of renewable energ
 y sources.<br /><br />This Technical talk presents How Big Data used in se
 veral industry applications in Power System.</p><br /><br />Agenda: <br />
 <p>5.00-5.05 PM : Speaker Introduction<br />5.05-5.45 PM : Big Data in Pow
 er Systems</p>\n<p>5.45-6.00 PM: Q&amp\;A Session</p>
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