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IoT-based electricity load optimisation: initial results of a monitor and control system

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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


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