| Summary: | 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.
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