Context-Aware Energy Saving System with Comfort Concerns Optimization in Pervasive Home Environment

• Main Authors: Mao-Yuan Weng, 翁茂源
• Other Authors: 傅立成
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/18848777825144165189

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 100 === In recent years, energy saving has become an important issue due to environmental and economic problems, so energy saving for household is a challenging and important issue for smart homes. Most of the prior works focus on home automation to achieve energy saving. Even few works focus on using context-aware technology to assist it; they often ignore those appliances which are operating indirectly or implicitly related to the context. On the other hand, the performance of context-aware based energy saving system is highly dependent on the accuracy of activity recognition rate; especially in multi-user environment, the accuracy is often lower than that for the single-user envi-ronment. The main contribution of this thesis is three-fold. Firstly, we will cluster similar single “activity contexts” into a “group activity context” in the learning phase, which can help us to make multi-user activity recognition far more tractable. Secondly, we propose a comprehensive comfort index to evaluate how the user feels under certain en-vironment conditions, including thermal, illumination and appliance-usage preference, which make the system to provide human-centric energy saving service to user. Thirdly, we formulate the energy saving into an optimization problem, which tries to minimize the total energy consumption while maintain the user comfort constraints.