A Load Scheduling Algorithm for the Smart Home Using Customer Preferences and Real Time Residential Prices

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• 作者：Siddharth Suryanarayananp>*p>p> ; p>p>sid@colostate.edu" class="auth_mail" title="E-mail the corresponding authorp> ; Marvin Antony Devadassp>*p>p> ; p>p>marvin.devadass@colostate.edu" class="auth_mail" title="E-mail the corresponding authorp> ; Timothy M. Hansenp>**p>p> ; p>p>timothy.hansen@sdstate.edu" class="auth_mail" title="E-mail the corresponding authorp>
• 关键词：Analytical Hierarchy Process (AHP) ; load scheduling ; Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) ; residential real time pricing (RRTP) ; Smart Home
• 刊名：IFAC-PapersOnLine
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：48
• 期：30
• 页码：126-131
• 全文大小：527 K

文摘

A load scheduling method in the Smart Home using a combination of customer preferences and the price of electricity is presented. To translate the customer preference of loads into a time-varying priority curve, the Analytical Hierarchy Process (AHP) and Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) methods are used. The resulting curves of customer priority are combined with the available time-varying pricing information for determining the schedule for each load. An example with four loads is presented to demonstrate the effectiveness of the algorithm.