Butler, Not Servants: A Human-Centric Smart Home Energy Management System
Abstract: The smart home is an emerging area that opens up a diverse set of downstream applications, such as dynamic pricing and demand response techniques, whose goals are typically to lower power consumption while providing comfortable and convenient services. The smart home has been studied extensively and shown to be beneficial in real life. Though useful, typical smart home platforms work at the "servant" level, highly dependent on user input without prediction, which if well addressed would significantly widen their applicability.
We propose a human-centric smart home energy (SHE) management system that works at the "butler" level. The system integrates ubiquitous sensing data from physical and cyber space to discover patterns of power usage and cognitively understand the behavior of human beings. A relationship is established to dynamically infer user demand for electricity, and optimal scheduling of the home energy system is triggered to respond to both user demand and electricity rates. Based on a novel framework, our SHE system provides intelligent services to satisfy the requirements of users as a butler would. It not only aims to save electricity cost or reduce peak load, but also to predict user demands and manage "servants." In addition, our SHE system can be expanded to offer valuable support for programming and decision making at all levels of future smart grids.
Bio: Ting Liu is an associate professor atXi’an Jiaotong University, Xi’an, China. Currently, he is a visiting professor at Cornell University. He received a B.S. in information engineering and Ph.D. in system engineering from Xi’an Jiaotong University, in 2003 and 2010, respectively. His research interests include software engineering and smart grids.