Browse by author
Lookup NU author(s): Weixian Li,
Dr Thillainathan Logenthiran,
Dr Van-Tung Phan,
Dr Wai Lok Woo
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2018 IEEE. Smart homes are part of a fundamental smart grid concept for smart cities. Home energy management system (HEMS) became an essential tool for smart homes to monitor electricity consumption and prevent energy wastages. In this paper, a Power Alert System (PAS) is proposed for HEMS to indicate the power consumption level of smart homes. In the proposed system, K-means algorithm is applied to classify power consumption into three levels, namely high, average and low. To evaluate the developed system, real-time unsupervised power consumption data has been collected from a Singapore smart home. In this practical residential environment, the developed system has performed a reliable clustering and created energy awareness for the residents. This classification of the energy consumption was compared with a traditional classification.
Author(s): Li W, Logenthiran T, Phan V-T, Woo WL
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Year of Conference: 2018
Online publication date: 20/09/2018
Acceptance date: 22/05/2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Library holdings: Search Newcastle University Library for this item