Lighting Scheduling for Energy Saving in Smart House Based on Life Log Data

Efficient energy consumption in homes is one of key elements of sustainable healthy residential living. This thesis deals with decision-making method and procedure for home energy use scheduling designed to boost energy efficiency. Home energy use scheduling is a complex task that combines various data for decision-making. To carry out the task, this study used the idea of utilizing ‘life log data,’ which is recording and storing daily routines. Life log data is recorded and stored in a metrics developed through a literature study and it contains 5W1H data (Who, When, Where, What, Why, How). Through the 5W1H data, lifestyle of residents can be analysed to determine the right services for them. The processes are as follows; House environments, Service determined, Similarity analysis, Data filtering, Smart service. As the life log data is developed by human's experience, this system makes it possible for one to one personalized service. And it can be possible personal energy savings at home. One of the key merits in relation to the utilization of the life-log data is that it can provide a customized one-on-one service reflecting the behavioural patterns and the lifestyles of a resident.