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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Australia/Queensland
BEGIN:STANDARD
DTSTART:19920301T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
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BEGIN:VEVENT
DTSTAMP:20190402T115532Z
UID:CEB7E99A-2614-4A09-9B69-B682A9E4E085
DTSTART;TZID=Australia/Queensland:20190402T110000
DTEND;TZID=Australia/Queensland:20190402T120000
DESCRIPTION:Smart solar inverters can be used to store\, monitor and manage
  a home’s solar energy.\n\nWe describe a smart solar inverter system wit
 h battery which can either operate in an automatic mode or receive command
 s over a network to charge and discharge at a given rate. In order to make
  battery storage financially viable and advantageous to the consumers\, ef
 fective battery scheduling algorithms can be employed. Particularly\, when
  time-of-use tariffs are in effect in the region of the inverter\, it is p
 ossible in some cases to schedule the battery to save money for the indivi
 dual customer\, compared to the “automatic” mode.\n\nWe describe a nov
 el battery scheduling algorithm for residential consumers of solar energy.
 \n\nWe also outline future research directions for the Redback Technologie
 s Research Centre in the Network Intelligence area.\n\nCo-sponsored by: IT
 EE PES Group\n\nSpeaker(s): Richard Bean\, \n\nRoom: 502\, Bldg: 49\, Staf
 f House Road\, The University of Queensland\, Brisbane\, Queensland\, Aust
 ralia\, 4072
LOCATION:Room: 502\, Bldg: 49\, Staff House Road\, The University of Queens
 land\, Brisbane\, Queensland\, Australia\, 4072
ORGANIZER:chandima@ieee.org
SEQUENCE:1
SUMMARY:Aspects of data science at Redback Technologies
URL;VALUE=URI:https://events.vtools.ieee.org/m/196722
X-ALT-DESC:Description: <br /><p>Smart solar inverters can be used to store
 \, monitor and manage a home&rsquo\;s solar energy.</p>\n<p>We describe a 
 smart solar inverter system with battery which can either operate in an au
 tomatic mode or receive commands over a network to charge and discharge at
  a given rate. In order to make battery storage financially viable and adv
 antageous to the consumers\, effective battery scheduling algorithms can b
 e employed. Particularly\, when time-of-use tariffs are in effect in the r
 egion of the inverter\, it is possible in some cases to schedule the batte
 ry to save money for the individual customer\, compared to the &ldquo\;aut
 omatic&rdquo\; mode.</p>\n<p>We describe a novel battery scheduling algori
 thm for residential consumers of solar energy.</p>\n<p>We also outline fut
 ure research directions for the Redback Technologies Research Centre in th
 e Network Intelligence area.</p>\n<p>&nbsp\;</p>
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