Power Alert System using K-Means for Smart Home

Weixian Li, Thillainathan Logenthiran, Van Tung Phan, Wai Lok Woo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationInternational Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
PublisherIEEE
Pages722-727
Number of pages6
ISBN (Print)9781538642917
DOIs
Publication statusPublished - 20 Sep 2018

Fingerprint Dive into the research topics of 'Power Alert System using K-Means for Smart Home'. Together they form a unique fingerprint.

Cite this