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DTSTART:20251005T030000
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DTSTAMP:20251204T104414Z
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DTSTART;TZID=Australia/Canberra:20251204T090000
DTEND;TZID=Australia/Canberra:20251204T100000
DESCRIPTION:Talk Topic:\n\nPhysical and computational modeling of smart hom
 es\n\nAbstract:\n\nNovel “smart” technologies such as smart homes\, sm
 art grids\, variable pricing\, and local energy markets promise both bette
 r overall efficiency for the providers\, a greener home\, and lower prices
 . However\, they also create unexpected problems. During the February 2021
  North-American Ice Storm\, the deregulated energy market in Texas came da
 ngerously close to collapse\, leading to rolling brownouts and loss of ser
 vice in many homes that relied on electric power for heating. As a respons
 e\, the variable pricing system shot up to $5000 per kilowatt hour\, gener
 ating very high bills for customers who did not lose service. This behavio
 r penalized customers but did nothing to help in the ongoing crisis. Altho
 ugh it did not happen on this occasion\, a controller that would sell the 
 home’s energy reserves to take advantage of the high pricing would be ev
 en more dangerous for customers facing freezing temperatures. The lesson w
 e can learn from these events is that “smart” systems must be extensiv
 ely tested\, including for black swan events for which no previous data is
  available. In this talk\, we discuss the need for extensive modeling and 
 simulation for all the components of such homes\, including the physical e
 nvironment\, the smart controllers\, the behavior of the humans\, and the 
 external environment\, including the smart grids and local energy market t
 o which the systems connect.\n\nSpeaker(s): Professor Damla Turgut\n\nVirt
 ual: https://events.vtools.ieee.org/m/517639
LOCATION:Virtual: https://events.vtools.ieee.org/m/517639
ORGANIZER:feduni.ieeestudentbranch@gmail.com
SEQUENCE:20
SUMMARY:IEEE Distinguished Lecturer Talk: Physical and computational modeli
 ng of smart homes
URL;VALUE=URI:https://events.vtools.ieee.org/m/517639
X-ALT-DESC:Description: <br /><p dir="ltr">Talk Topic:&nbsp\;</p>\n<p dir="
 ltr">Physical and computational modeling of smart homes</p>\n<p dir="ltr">
 Abstract:&nbsp\;</p>\n<p dir="ltr">Novel &ldquo\;smart&rdquo\; technologie
 s such as smart homes\, smart grids\, variable pricing\, and local energy 
 markets promise both better overall efficiency for the providers\, a green
 er home\, and lower prices. However\, they also create unexpected problems
 . During the February 2021 North-American Ice Storm\, the deregulated ener
 gy market in Texas came dangerously close to collapse\, leading to rolling
  brownouts and loss of service in many homes that relied on electric power
  for heating. As a response\, the variable pricing system shot up to $5000
  per kilowatt hour\, generating very high bills for customers who did not 
 lose service. This behavior penalized customers but did nothing to help in
  the ongoing crisis. Although it did not happen on this occasion\, a contr
 oller that would sell the home&rsquo\;s energy reserves to take advantage 
 of the high pricing would be even more dangerous for customers facing free
 zing temperatures. The lesson we can learn from these events is that &ldqu
 o\;smart&rdquo\; systems must be extensively tested\, including for black 
 swan events for which no previous data is available. In this talk\, we dis
 cuss the need for extensive modeling and simulation for all the components
  of such homes\, including the physical environment\, the smart controller
 s\, the behavior of the humans\, and the external environment\, including 
 the smart grids and local energy market to which the systems connect.</p>\
 n<p>&nbsp\;</p>
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