Energy monitoring system incorporating energy profiling and predictive household movement for energy anomaly detection

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

International Journal of Emerging Trends in Engineering Research

Volume

7

Issue

8

First Page

151

Last Page

156

Publication Date

1-1-2019

Abstract

© 2019, World Academy of Research in Science and Engineering. All rights reserved. In most buildings and large households, an energy management system is needed to timely monitor and adaptively make decisions regarding the utility of the electrical equipment/appliances in order to minimize energy cost and provide convenience and comfort to the occupants. However, for small households, i.e., with four to five family members, energy monitoring systems are more appropriate since the number of appliances and households are restricted. Also, the household movements are limited, therefore, can be profiled and predicted. In this work, a home energy monitoring system, EnMonSys, with predictive household movement for small and compact houses is designed and implemented to detect common energy anomaly such as the opening/leaving a refrigerator’s door open. This study has found out through experiments that factors such as changes in household member and/or season greatly affect the energy consumption, instead of the equipment/appliance control. Currently, EnMonSys has correctly detected 81% of energy anomaly and is believed to increase as the household profile (movement and appliance usage) is adjusted accordingly.

html

Digitial Object Identifier (DOI)

10.30534/ijeter/2019/08782019

Upload File

wf_yes

This document is currently not available here.

Share

COinS