A user demand and preference profiling method for residential energy management-Reference-Cited by-同舟云学术

A user demand and preference profiling method for residential energy management

Published:2014-09-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication
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Author:

Liu Ting¹,Liu Yuqi²,Chen Siyun³,Che Yulin²,Xu Zhanbo³,Duan Yufei⁴

Affiliation:

1. Ministry of Education Key Lab for Intelligent Networks and Network Security (MoEKLINNS) Xi'an Jiaotong University

2. Xi'an Jiaotong University

3. MoEKLINNS, Xi'an Jiaotong University

4. XJTU

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2638728.2641552

Reference12 articles.

1. U.S. Household Electricity Report Energy Info Admin. U. S DOE 14 July 2005. http://www.eia.doe.gov/emeu/reps/eduse/er01us.html. U.S. Household Electricity Report Energy Info Admin. U. S DOE 14 July 2005. http://www.eia.doe.gov/emeu/reps/eduse/er01us.html.

2. Power consumption scheduling for peak load reduction in smart grid homes

3. Protecting consumer privacy from electric load monitoring

4. Consumer profiling for demand response programs in smart grids

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3. An appliance classification method for residential appliance scheduling;Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15;2015