2011 IEEE International Symposium on Industrial Electronics 2011
DOI: 10.1109/isie.2011.5984354
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Peak-load shaving in smart homes via online scheduling

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Cited by 39 publications
(19 citation statements)
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“…A scheduling algorithm for peak-load shaving was introduced in [26], which was a means of improving the efficiency of a smart grid. The domestic power load is separated from the grid dynamics by the proposed architecture, and appliances are represented as finite state machines whose interface is triggered with input signals ("clock," "start," "stop," and "time"), outputting "status," "pre-emption," "required energy," "heuristic value," "power load," and "nominal power."…”
Section: Heuristic Search Approachesmentioning
confidence: 99%
“…A scheduling algorithm for peak-load shaving was introduced in [26], which was a means of improving the efficiency of a smart grid. The domestic power load is separated from the grid dynamics by the proposed architecture, and appliances are represented as finite state machines whose interface is triggered with input signals ("clock," "start," "stop," and "time"), outputting "status," "pre-emption," "required energy," "heuristic value," "power load," and "nominal power."…”
Section: Heuristic Search Approachesmentioning
confidence: 99%
“…In the past years, particular attention has been devoted to the specific issue of avoiding peaks in energy demand, which is a very complex issue, due to the high variability in user consumption demand and to the limited flexibility in scheduling in order not to negatively affect user experience; moreover, price policies adopted by providers are often insufficient to modify user habits and lower peak energy demand. In [24,25], a demand-side load management system is proposed, suitable to be integrated in the future Smart Grid technology. The proposed system acts in real time, interacting with appliances and users, and adopts a layered structure, processing data coming from actual on-line consumption and schedule user requests, in order to balance electricity demand.…”
Section: Related Workmentioning
confidence: 99%
“…Algorithm 1 presents the Load Admission Control, an heuristic-based search algorithm for load online scheduling that was first introduced in [7] for demand response applications and provision of PowerMax service [5] . However, the algorithm presented in [7] is here modified in order to track a power reference instead of limiting the peak power.…”
Section: Load Admission Control (Lac) Algorithmmentioning
confidence: 99%
“…However, the algorithm presented in [7] is here modified in order to track a power reference instead of limiting the peak power.…”
Section: Load Admission Control (Lac) Algorithmmentioning
confidence: 99%