Smith, Andrew CButgereit, L2013-04-172013-04-172012-11Smith, 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 2012978-0-620-55590-6http://www.zaw3.co.za/index.php/ZA-WWW/2012/paper/viewFile/548/199http://hdl.handle.net/10204/666214th Annual Conference on World Wide Web Applications, Durban, South Africa, 7-9 November 2012. Published in ZAWWW 2012.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.enEnergy and processesInternet of ThingsIoTElectrical energy demandElectrical energy supplyConference PresentationSmith, 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/10204/6662Smith, Andrew C, and L Butgereit. "IoT-based electricity load optimisation: initial results of a monitor and control system." (2012): http://hdl.handle.net/10204/6662Smith 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 .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 -