Correlation Coefficient for Energy Monitoring Based on Human Activity in the Office Room

Nowadays, smart house technology can offers a better quality of life by introducing automated appliance control and assistive services. However, human behaviors always related to day routine activities in smart house which will contribute to the efficiency of the system. This paper will focus on the energy monitoring based on duration time in office hours around 8 am until 5 pm which depend on human behavior at working place. The inhabitant activities are actually a sequence of sequential events. The worker in order uses appliances according to personal choice, environment, and situation demand. Then, the correlation coefficient method is used to show the relation between energy consumption and energy saving based on the total hours of time energy spent. In future, the percentages of energy monitoring system usage will be increase to manage energy in efficient ways based on human behaviours. This scenario will lead to the positive impact in order to achieve the energy saving in the building and support world green environment.