Using solar and load predictions in battery scheduling at the residential level

Share

Redback Technologies offers a Smart Hybrid Solar Inverter system which combines a smart solar inverter, battery enclosure and “intelligent” energy management software into one package. One method of operation 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 time-of-use tariffs, there is the potential for significant savings over "self consumption" by forecasting solar and load and energy arbitrage. Researchers have considered energy cost minimisation where a perfect load and solar forecast is available (e.g. Ratnam, Davy and Huang). Nottrott and others 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.



  Date and Time

  Location

  Contact

  Registration


  • 26 Reddacliff Street
  • Newstead
  • Brisbane, Queensland
  • Australia 4006
  • Building: Energex Building
  • Room Number: Ipswich Room

Staticmap?size=250x200&sensor=false&zoom=14&markers= 27.4492415%2c153
  • Registration closed


  Speakers

Dr. Richard Bean of Redback Technologies

Biography:

Richard is a data scientist at Redback Technologies in Brisbane. His background is in mathematics and computer science, and he has worked in the energy, transport and health sectors in analytical roles. He has a Ph.D. and B.Sc. from the University of Queensland (2001 and 1997).

Address:Brisbane, Australia

Dr. Richard Bean of Redback Technologies

Biography:

Address:Brisbane, Australia