Context Aware on Bayesian Network-A Case Study of Home Energy Saving

• Main Authors: Jeng-Jau Lin, 林政兆
• Other Authors: 曾羣偉
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/87760244430358721740

碩士 === 正修科技大學 === 資訊管理研究所 === 99 === This paper primarily using Bayesian network to establish situational awareness of energy saving system, and indeed do apply to the home of energy saving and planning of electrical energy control, simulation experiments to replace as network wireless module for sensor establishment, by simulating the sensor can collect information about the home environment, and to the database data transmission to energy-saving system, we will receive the data do intelligent finishing went on to do electrical power control and to best energy-saving purposes. Context aware will collect information about the home environment to understand users how consume energy, followed by Context aware management will receive information for reference data, according to the data to understand usage habits and to provide electrical power of supply. But the energy consumption at home, it is inevitable that the Context aware data on power control accuracy errors, this study is based on a Bayesian network is the theoretical basis of the establishment of inference mechanisms, and recalling the user experience and data as a reference basis, according to the various user appliances use time changes, to calculate the different use time and confirm the user's information environment and assess whether the power supply. This study is intended for Context management and to make inferences of prediction, in order to enhance the power supply accuracy rate of energy-saving effect, and the use of measurement and simulation of data to energy data comparison.