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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Australia/Brisbane
BEGIN:STANDARD
DTSTART:19920301T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
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BEGIN:VEVENT
DTSTAMP:20170626T005601Z
UID:865999FF-4100-11E7-8752-0050568D2FB3
DTSTART;TZID=Australia/Brisbane:20170627T150000
DTEND;TZID=Australia/Brisbane:20170627T170000
DESCRIPTION:Redback Technologies offers a Smart Hybrid Solar Inverter syste
 m which combines a smart solar inverter\, battery enclosure and “intelli
 gent” energy management software into one package. One method of operati
 on of the inverter is "self consumption" with surplus energy stored in the
  battery then sold to the grid when the battery is full. In areas with tim
 e-of-use tariffs\, there is the potential for significant savings over "se
 lf consumption" by forecasting solar and load and energy arbitrage. Resear
 chers have considered energy cost minimisation where a perfect load and so
 lar forecast is available (e.g. Ratnam\, Davy and Huang). Nottrott and oth
 ers have considered the case of peak demand reduction with real-world load
  and solar forecasts. We examine the prospects of energy cost minimisation
  with real-world load and solar forecasts at a residential level.\n\nSpeak
 er(s): Dr. Richard Bean\, \, Dr. Richard Bean\, \n\nRoom: Ipswich Room\, B
 ldg: Energex Building\, 26 Reddacliff Street\, Newstead\, Brisbane\, Queen
 sland\, Australia\, 4006
LOCATION:Room: Ipswich Room\, Bldg: Energex Building\, 26 Reddacliff Street
 \, Newstead\, Brisbane\, Queensland\, Australia\, 4006
ORGANIZER:m.eghbal@ieee.org
SEQUENCE:5
SUMMARY:Using solar and load predictions in battery scheduling at the resid
 ential level
URL;VALUE=URI:https://events.vtools.ieee.org/m/45684
X-ALT-DESC:Description: <br /><p>Redback Technologies offers a Smart Hybrid
  Solar Inverter system which combines a smart solar inverter\, battery enc
 losure and &ldquo\;intelligent&rdquo\; energy management software into one
  package. One method of operation of the inverter is "self consumption" wi
 th surplus energy stored in the battery then sold to the grid when the bat
 tery is full. In areas with time-of-use tariffs\, there is the potential f
 or significant savings over "self consumption" by forecasting solar and lo
 ad and energy arbitrage. Researchers have considered energy cost minimisat
 ion where a perfect load and solar forecast is available (e.g. Ratnam\, Da
 vy and Huang). Nottrott and others have considered the case of peak demand
  reduction with real-world load and solar forecasts. We examine the prospe
 cts of energy cost minimisation with real-world load and solar forecasts a
 t a residential level.</p>
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