@inproceedings{986a27c6ccde46ee82c6953bb139d307,
title = "A user demand and preference profiling method for residential energy management",
abstract = "The home appliance scheduling is a promising energy saving technique that has significant commercial potential. In this paper, a novel method is proposed to profile user demand and preference for residential energy management. Non-Intrusion Load Monitoring (NILM) is applied to identify user operations on each appliance. The operations are integrated with dynamic electric price and environment data to mine users' personal demand and preference on various devices. Finally, the personalized scheduling strategy is generated to meet the different users' demands at the minimal cost. The major contributions of this paper are: 1) NILM is an low-cost and easy-accept solution to profile users' demand, since power meters have been widely deployed and power consumption data are less privacy-related. 2) Five preference indexes are firstly introduced, which can dramatically improve the user's satisfaction on scheduling strategies.",
keywords = "Energy saving, Non-intrusion load monitoring, Personalized scheduling, Ubiquitous computing, User preference",
author = "Ting Liu and Yuqi Liu and Siyun Chen and Yulin Che and Zhanbo Xu and Yufei Duan",
year = "2014",
doi = "10.1145/2638728.2641552",
language = "英语",
series = "UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
publisher = "Association for Computing Machinery, Inc",
pages = "911--918",
booktitle = "UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
note = "2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 ; Conference date: 13-09-2014 Through 17-09-2014",
}