dc.contributor.author |
Smith, Andrew C
|
|
dc.contributor.author |
Butgereit, L
|
|
dc.date.accessioned |
2013-04-17T10:00:10Z |
|
dc.date.available |
2013-04-17T10:00:10Z |
|
dc.date.issued |
2012-11 |
|
dc.identifier.citation |
Smith, A.C and Butgereit, L. 2012. IoT-based electricity load optimisation: initial results of a monitor and control system. In: 14th Annual Conference on World Wide Web Applications, Durban, South Africa, 7-9 November 2012 |
en_US |
dc.identifier.isbn |
978-0-620-55590-6 |
|
dc.identifier.uri |
http://www.zaw3.co.za/index.php/ZA-WWW/2012/paper/viewFile/548/199
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/6662
|
|
dc.description |
14th Annual Conference on World Wide Web Applications, Durban, South Africa, 7-9 November 2012. Published in ZAWWW 2012. |
en_US |
dc.description.abstract |
The demand for electrical energy is increasing globally. Both the average as well as the anticipated peak demand must be considered by the supplier when designing an electrical supply. We present an Internet of Things – based system, and a concept demonstrator of the system, that attempts to minimise the peak demand for electrical energy. Modelled on a geographically distributed computation system, we designed and implemented a system that continuously monitors the energy consumption of domestic appliances and according to certain rules controls the energy supply to the appliances in an attempt to reduce the peak energy demand. The total electrical energy demand during a day is not reduced. Instead, the peak demand is managed by reducing the overlap when multiple electrical devices are using electrical energy. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
ZA-WWW 2012 Conference |
en_US |
dc.relation.ispartofseries |
Workflow;10269 |
|
dc.subject |
Energy and processes |
en_US |
dc.subject |
Internet of Things |
en_US |
dc.subject |
IoT |
en_US |
dc.subject |
Electrical energy demand |
en_US |
dc.subject |
Electrical energy supply |
en_US |
dc.title |
IoT-based electricity load optimisation: initial results of a monitor and control system |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Smith, A. C., & Butgereit, L. (2012). IoT-based electricity load optimisation: initial results of a monitor and control system. ZA-WWW 2012 Conference. http://hdl.handle.net/10204/6662 |
en_ZA |
dc.identifier.chicagocitation |
Smith, Andrew C, and L Butgereit. "IoT-based electricity load optimisation: initial results of a monitor and control system." (2012): http://hdl.handle.net/10204/6662 |
en_ZA |
dc.identifier.vancouvercitation |
Smith AC, Butgereit L, IoT-based electricity load optimisation: initial results of a monitor and control system; ZA-WWW 2012 Conference; 2012. http://hdl.handle.net/10204/6662 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Smith, Andrew C
AU - Butgereit, L
AB - The demand for electrical energy is increasing globally. Both the average as well as the anticipated peak demand must be considered by the supplier when designing an electrical supply. We present an Internet of Things – based system, and a concept demonstrator of the system, that attempts to minimise the peak demand for electrical energy. Modelled on a geographically distributed computation system, we designed and implemented a system that continuously monitors the energy consumption of domestic appliances and according to certain rules controls the energy supply to the appliances in an attempt to reduce the peak energy demand. The total electrical energy demand during a day is not reduced. Instead, the peak demand is managed by reducing the overlap when multiple electrical devices are using electrical energy.
DA - 2012-11
DB - ResearchSpace
DP - CSIR
KW - Energy and processes
KW - Internet of Things
KW - IoT
KW - Electrical energy demand
KW - Electrical energy supply
LK - https://researchspace.csir.co.za
PY - 2012
SM - 978-0-620-55590-6
T1 - IoT-based electricity load optimisation: initial results of a monitor and control system
TI - IoT-based electricity load optimisation: initial results of a monitor and control system
UR - http://hdl.handle.net/10204/6662
ER -
|
en_ZA |