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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 10 , ISSUE 4 (December 2017) > List of articles


Sho Kimura * / Toshihiko Sasama / Takao Kawamura / Kazunori Sugahara

Keywords : Wards method, Sensor Networks, HEMS

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 10, Issue 4, Pages 920-934, DOI: https://doi.org/10.21307/ijssis-2018-025

License : (BY-NC-ND 4.0)

Received Date : 05-August-2017 / Accepted: 12-November-2017 / Published Online: 01-December-2017



Home Energy Management System (HEMS) is standard as a system for reducing power consumption in ordinary homes. The system prevents the users from forgetting to turn off home appliances. However the system is too simple to more reduce power consumption. Therefore we aim to reduce power consumption by figuring out a user's behavior to control home appliances. However to estimate user's behavior is difficult for the system. So we develop Multifunction Outlet System into a function to control home appliances. The function uses Ward's method which is an unsupervised learning for estimation of a user's behavior. In this paper, we evaluated a result of estimate of a user's behavior from sensor data by Ward's method.

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