Power Alert System using K-Means for Smart Home

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

doi:10.1109/ISGT-Asia.2018.8467949

Power Alert System using K-Means for Smart Home

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

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Publisher	IEEE
Pages	722-727
Number of pages	6
ISBN (Print)	9781538642917
DOIs	https://doi.org/10.1109/ISGT-Asia.2018.8467949
Publication status	Published - 20 Sept 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Home energy management system
K-means
Smart grid
Smart homes

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10.1109/ISGT-Asia.2018.8467949

Cite this

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title = "Power Alert System using K-Means for Smart Home",

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.",

keywords = "Home energy management system, K-means, Smart grid, Smart homes",

author = "Weixian Li and Thillainathan Logenthiran and Phan, \{Van Tung\} and Woo, \{Wai Lok\}",

year = "2018",

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day = "20",

doi = "10.1109/ISGT-Asia.2018.8467949",

language = "English",

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pages = "722--727",

booktitle = "International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018",

publisher = "IEEE",

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TY - CHAP

T1 - Power Alert System using K-Means for Smart Home

AU - Li, Weixian

AU - Logenthiran, Thillainathan

AU - Phan, Van Tung

AU - Woo, Wai Lok

PY - 2018/9/20

Y1 - 2018/9/20

N2 - 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.

AB - 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.

KW - Home energy management system

KW - K-means

KW - Smart grid

KW - Smart homes

UR - https://www.scopus.com/pages/publications/85055566417

U2 - 10.1109/ISGT-Asia.2018.8467949

DO - 10.1109/ISGT-Asia.2018.8467949

M3 - Chapter

SN - 9781538642917

SP - 722

EP - 727

BT - International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

PB - IEEE

ER -

Power Alert System using K-Means for Smart Home

Abstract

UN SDGs

Keywords

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