Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6734719 | Energy and Buildings | 2013 | 12 Pages |
Abstract
⺠The prediction of appliance usage in smart homes is done, as an important problem in the home energy management. ⺠A global architecture for prediction with an oracle module and a predictor module was proposed. ⺠Several classifiers were tested as predictors and for each tested appliance, the best one was detected. ⺠The prediction with decision tables for lighting usage in dwellings gives the highest accuracy in all the tested cases. ⺠The oracle module provides additional information which leads to more accurate prediction.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Kaustav Basu, Lamis Hawarah, Nicoleta Arghira, Hussein Joumaa, Stephane Ploix,