ZigBee based smart metering network for monitoring building integrated electric vehicle charging circuits

Norman C. F. Tse; W. H. Lau; John Y. C. Chan

doi:10.1109/PES.2010.5590162

ZigBee based smart metering network for monitoring building integrated electric vehicle charging circuits

Norman C. F. Tse, W. H. Lau, John Y. C. Chan

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

5 Citations (Scopus)

Abstract

This paper presents a smart metering network for monitoring energy consumption and power quality of building integrated electric vehicle charging network. The smart metering network consists of smart metering devices, a ZigBee communication network, and a central system for power calculation and power quality analysis. The smart metering device captures current and/or voltage waveform and performs waveform compression function and feature extraction. The waveform compression and feature extraction algorithm is developed from FFTW algorithm and DWPT algorithm. ©2010 IEEE.

Original language	English
Title of host publication	IEEE PES General Meeting, PES 2010
DOIs	https://doi.org/10.1109/PES.2010.5590162
Publication status	Published - 2010
Event	IEEE PES General Meeting, PES 2010 - Minneapolis, MN, United States Duration: 25 Jul 2010 → 29 Jul 2010

Conference

Conference	IEEE PES General Meeting, PES 2010
Place	United States
City	Minneapolis, MN
Period	25/07/10 → 29/07/10

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

DWPT
EV charging
FFTW
Microgrid
Smart meters
ZigBee

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10.1109/PES.2010.5590162

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@inproceedings{7d70e25ece474a30897c81766b78893d,

title = "ZigBee based smart metering network for monitoring building integrated electric vehicle charging circuits",

abstract = "This paper presents a smart metering network for monitoring energy consumption and power quality of building integrated electric vehicle charging network. The smart metering network consists of smart metering devices, a ZigBee communication network, and a central system for power calculation and power quality analysis. The smart metering device captures current and/or voltage waveform and performs waveform compression function and feature extraction. The waveform compression and feature extraction algorithm is developed from FFTW algorithm and DWPT algorithm. {\textcopyright}2010 IEEE.",

keywords = "DWPT, EV charging, FFTW, Microgrid, Smart meters, ZigBee",

author = "Tse, {Norman C. F.} and Lau, {W. H.} and Chan, {John Y. C.}",

year = "2010",

doi = "10.1109/PES.2010.5590162",

language = "English",

isbn = "9781424483570",

booktitle = "IEEE PES General Meeting, PES 2010",

note = "IEEE PES General Meeting, PES 2010 ; Conference date: 25-07-2010 Through 29-07-2010",

}

TY - GEN

T1 - ZigBee based smart metering network for monitoring building integrated electric vehicle charging circuits

AU - Tse, Norman C. F.

AU - Lau, W. H.

AU - Chan, John Y. C.

PY - 2010

Y1 - 2010

N2 - This paper presents a smart metering network for monitoring energy consumption and power quality of building integrated electric vehicle charging network. The smart metering network consists of smart metering devices, a ZigBee communication network, and a central system for power calculation and power quality analysis. The smart metering device captures current and/or voltage waveform and performs waveform compression function and feature extraction. The waveform compression and feature extraction algorithm is developed from FFTW algorithm and DWPT algorithm. ©2010 IEEE.

AB - This paper presents a smart metering network for monitoring energy consumption and power quality of building integrated electric vehicle charging network. The smart metering network consists of smart metering devices, a ZigBee communication network, and a central system for power calculation and power quality analysis. The smart metering device captures current and/or voltage waveform and performs waveform compression function and feature extraction. The waveform compression and feature extraction algorithm is developed from FFTW algorithm and DWPT algorithm. ©2010 IEEE.

KW - DWPT

KW - EV charging

KW - FFTW

KW - Microgrid

KW - Smart meters

KW - ZigBee

UR - http://www.scopus.com/inward/record.url?scp=78649564886&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-78649564886&origin=recordpage

U2 - 10.1109/PES.2010.5590162

DO - 10.1109/PES.2010.5590162

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424483570

BT - IEEE PES General Meeting, PES 2010

T2 - IEEE PES General Meeting, PES 2010

Y2 - 25 July 2010 through 29 July 2010

ER -

ZigBee based smart metering network for monitoring building integrated electric vehicle charging circuits

Abstract

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UN SDGs

Research Keywords

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