Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 1.102
JCR 5-Year IF: 0.734
Issues per year: 4
Current issue: Feb 2021
Next issue: May 2021
Avg review time: 56 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

1,601,822 unique visits
491,111 downloads
Since November 1, 2009



Robots online now
Googlebot
PetalBot


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 21 (2021)
 
     »   Issue 1 / 2021
 
 
 Volume 20 (2020)
 
     »   Issue 4 / 2020
 
     »   Issue 3 / 2020
 
     »   Issue 2 / 2020
 
     »   Issue 1 / 2020
 
 
 Volume 19 (2019)
 
     »   Issue 4 / 2019
 
     »   Issue 3 / 2019
 
     »   Issue 2 / 2019
 
     »   Issue 1 / 2019
 
 
 Volume 18 (2018)
 
     »   Issue 4 / 2018
 
     »   Issue 3 / 2018
 
     »   Issue 2 / 2018
 
     »   Issue 1 / 2018
 
 
 Volume 17 (2017)
 
     »   Issue 4 / 2017
 
     »   Issue 3 / 2017
 
     »   Issue 2 / 2017
 
     »   Issue 1 / 2017
 
 
  View all issues  


FEATURED ARTICLE

Improved Wind Speed Prediction Using Empirical Mode Decomposition, ZHANG, Y., ZHANG, C., SUN, J., GUO, J.
Issue 2/2018

AbstractPlus






LATEST NEWS

2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

2020-Jun-11
Starting on the 15th of June 2020 we wiil introduce a new policy for reviewers. Reviewers who provide timely and substantial comments will receive a discount voucher entitling them to an APC reduction. Vouchers (worth of 25 EUR or 50 EUR, depending on the review quality) will be assigned to reviewers after the final decision of the reviewed paper is given. Vouchers issued to specific individuals are not transferable.

2019-Dec-16
Starting on the 15th of December 2019 all paper authors are required to enter their SCOPUS IDs. You may use the free SCOPUS ID lookup form to find yours in case you don't remember it.

2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

Read More »


    
 

  1/2015 - 13

 HIGHLY CITED PAPER 

Anomaly Detection Using Power Signature of Consumer Electrical Devices

CERNAZANU-GLAVAN, C. See more information about CERNAZANU-GLAVAN, C. on SCOPUS See more information about CERNAZANU-GLAVAN, C. on IEEExplore See more information about CERNAZANU-GLAVAN, C. on Web of Science, MARCU, M. See more information about MARCU, M. on SCOPUS See more information about MARCU, M. on SCOPUS See more information about MARCU, M. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (789 KB) | Citation | Downloads: 393 | Views: 1,518

Author keywords
feature extraction, pattern matching, signal analysis, signal processing

References keywords
power(9), smart(8), signatures(5), energy(5), grid(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 89 - 94
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01013
Web of Science Accession Number: 000352158600013
SCOPUS ID: 84924760263

Abstract
Quick view
Full text preview
The use of the smart grid for developing intelligent applications is a current trend of great importance. One advantage lies in the possibility of direct monitoring of all devices connected to the electrical network in order to prevent possible malfunctions. Therefore, this paper proposes a method for an automatic detection of the malfunctioning of low-intelligence consumer electrical devices. Malfunctioning means any deviation of a household device from its normal operating schedule. The method is based on a comparison technique, consisting in the correlation between the current power signature of a device and an ideal signature (the standard signature provided by the manufacturer). The first step of this method is to achieve a simplified form of power signature which keeps all the original features. Further, the signal is segmented based on the data provided by an event detection algorithm (values of the first derivatives) and each resulting component is approximated using a regression function. The final step consists of an analysis based on the correlation between the computed regression coefficients and the coefficients of the standard signal. Following this analysis all the differences are classified as a malfunctioning of the analyzed device.


References | Cited By  «-- Click to see who has cited this paper

[1] R. Kazman, L. Bass, J. Ivers, and G. A. Moreno, "Architecture Evaluation without an Architecture: Experience with the Smart Grid", 33rd International Conference of Software Engineering, May 2011.
[CrossRef] [SCOPUS Times Cited 10]


[2] C. Laughman, K. Lee, R. Cox, S. Shaw, S. Leeb, L. Norford and P. Armstrong, "Power Signature Analysis", Power and Energy Magazine, IEEE, Vol. 1, pp.56-63, 2003.
[CrossRef] [SCOPUS Times Cited 447]


[3] I. Cepa, Z. Kocur, Z. Muller, "Migration of the IT Technologies to the Smart Grids", ELEKTRONIKA IR ELEKTROTECHNIKA, pp.123-128, Issue 7, 2012
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 25]


[4] M. Marcu and C. Cernazanu, "Dynamic Analysis of Electronic Devices' Power Signatures", International Instrumentation and Measurement Technology Conference, I2MTC 2012, Graz, Austria, May 2012.
[CrossRef] [SCOPUS Times Cited 7]


[5] I. C. Miller, "IDDQ testing in deep submicron integrated circuits", Proceedings of International Test Conference, ITC 1999, Atlantic City, USA, Sep. 1999.

[6] K. Fehrenbacher, "10 Monitoring Tools Bringing Smart Energy Home", Business Week, Apr. 2009, [Online] Available: Temporary on-line reference link removed - see the PDF document

[7] J. Froehlich, E. Larson, S. Gupta, G. Cohn, M. S. Reynolds, and S. N. Patel, "Disaggregated End-Use Energy Sensing for the Smart Grid", IEEE Pervasive Computing, Special Issue on Smart Energy Systems, Jan-Mar 2011.
[CrossRef] [Web of Science Times Cited 141] [SCOPUS Times Cited 202]


[8] M. Marcu, C. Stangaciu, A. Topirceanu, D. Volcinschi, and V. Stangaciu, "Wireless Sensors Solution for Energy Monitoring, Analyzing, Controlling and Predicting", Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Volume 57, 2011.
[CrossRef] [SCOPUS Times Cited 7]


[9] Q. Ou, Y. Zhen, X. Li, Y. Zhang, L. Zeng; , "Application of Internet of Things in Smart Grid Power Transmission", Mobile, Ubiquitous, and Intelligent Computing (MUSIC), 2012 Third FTRA International Conference on , pp.96-100, 26-28 June 2012
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 52]


[10] S. J. Huang, C. T. Hsieh, L. K. Kuo, C. W. Lin, C. W. Chang, S. A. Fang, "Classification of home appliance electricity consumption using power signature and harmonic features", Power Electronics and Drive Systems (PEDS), 2011 IEEE Ninth International Conference on , pp.596-599, 5-8 Dec. 2011
[CrossRef] [SCOPUS Times Cited 14]


[11] W. K. Lee, G. S. K. Fung, H. Y. Lam, F. H. Y. Chan, and M. Lucente, "Exploration on Load Signatures", International Conference on Electrical Engineering, ICEE 2004, Sapporo, Japan, Jul. 2012.

[12] X. Jiang, S. Dawson-Haggerty, P. Dutta, and D. Culler, "Design and Implementation of a High-Fidelity AC Metering Network", The 8th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSNÂ’09, 2009, San Francisco, California, USA.

[13] M. Drif, A. J. M. Cardoso, "Stator Fault Diagnostics in Squirrel Cage Three-Phase Induction Motor Drives Using the Instantaneous Active and Reactive Power Signature Analyses", Industrial Informatics, IEEE Transactions on , vol.10, no.2, pp.1348-1360, May 2014
[CrossRef] [Web of Science Times Cited 109] [SCOPUS Times Cited 120]


[14] T. Hassan, F. Javed, N. Arshad, "An Empirical Investigation of V-I Trajectory Based Load Signatures for Non-Intrusive Load Monitoring", Smart Grid, IEEE Transactions on, vol.5, no.2, pp. 870-878, March 2014
[CrossRef] [Web of Science Times Cited 134] [SCOPUS Times Cited 168]


[15] A. Abu-Siada, N. Hashemnia, S. Islam, M. Masoum, "Understanding power transformer frequency response analysis signatures", Electrical Insulation Magazine, IEEE , vol.29, no.3, pp. 48-56, May 2013
[CrossRef] [Web of Science Times Cited 92] [SCOPUS Times Cited 119]


[16] M. Marcu, C. Cernazanu, "Applications of Smart Metering and Home Appliances' Power Signatures", Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International , vol., no., pp. 331-335, 12-15 May 2014
[CrossRef] [SCOPUS Times Cited 3]




References Weight

Web of Science® Citations for all references: 528 TCR
SCOPUS® Citations for all references: 1,174 TCR

Web of Science® Average Citations per reference: 31 ACR
SCOPUS® Average Citations per reference: 69 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-04-02 21:17 in 77 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2021
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: