| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 711060 | IFAC-PapersOnLine | 2015 | 6 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
