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JCR Impact Factor: 1.102
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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


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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.

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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.

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  1/2009 - 11

 HIGH-IMPACT PAPER 

Clustering Techniques in Load Profile Analysis for Distribution Stations

BOBRIC, E. C., CARTINA, G., GRIGORAS, G.
 
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 (501 KB) | Citation | Downloads: 1,071 | Views: 6,933

Author keywords
load profile, clustering techniques, data flow analysis, power consumption, distribution station

References keywords
power(5), load(5), clustering(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2009-02-03
Volume 9, Issue 1, Year 2009, On page(s): 63 - 66
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.01011
Web of Science Accession Number: 000264815300011
SCOPUS ID: 67749137135

Abstract
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Full text preview
The demand characteristic is the most important one in analyzing customer information. In a distribution network, there is in any moment certain degree of uncertainty about busses loads, and consequently, about load level of network, busses voltage level, and power losses. Therefore, it is very important to estimate first of all the load profiles of buses, using available data (measurements effectuated in distribution stations). The results obtained for various distribution stations demonstrate the effectiveness of the present method in overcoming the difficulties encountered in optimal planning and operation of distribution networks.


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

[1] Load profiles and their use in electricity settlement, Electricity Association, Publisher UKERC, 1997

[2] "Handbook of Applied Multivariate Statistics and Mathematical Modelling", Edited by: Howard E.A. Tinsley and Steven D. Brown ISBN: 978-0-12-691360-6 [PermaLink]

[3] Gh. Cartina, Gh. Grigoras., E.C. Bobric, "Clustering Techniques in Load Analyse", Proc. of the International Power Systems Conference, PSC'05, 2005, Timisoara, Romania, pp. 123-130

[4] R.F. Chang, C.N. Lu, "Load profiling and its applications in power market", Power Engineering Society General Meeting, 2003, IEEE Volume 2, 13-17 July 2003,
[CrossRef] [Web of Science Times Cited 3]


[5] C. Nitu, A. S. Dobrescu, "The Role of Weather Indicators in Energy Consumption", Advances in Electrical and Computer Engineering, Suceava, Romania, ISSN 1582-7445, No 1/2008, volume 8, pp. 17-20
[CrossRef] [Full Text] [Web of Science Times Cited 2]


[6] JMP Statistics and Graphics Guide: Version 3, SAS Institute Inc., Cary, NC, USA, 1999

[7] A.K. Jain, M.N. Murty, P.J. Flynn, Data Clustering: A Rewiew, ACM Computing Serveys, 31, 264-323, 1999
[CrossRef] [Web of Science Times Cited 6768]


[8] Clustering: An Introduction, Available: http://www.elet.polimi.it/upload/matteucc/Clustering/tutorial_html

[9] Gh. Cartina, Gh. Grigoras, E.C. Bobric, "Clustering Techniques in Fuzzy Modeling. Power Systems Applications", Casa de Editura VENUS, Iasi, 2005

[10] P.E. Sinioros, C. Filote, A. Graur, M.G. Ioannides, "A New Real Time Method of the Instantaneous Active and Reactive Power Calculus", Advances in Electrical and Computer Engineering, Suceava, Romania ISSN 1582-7445, No. 1/2001, volume 1 (8), pp. 5-10

[11] M. Gavrilas, V.C. Sfintes, M.N. Filimon, "Identifying typical load profiles using neural-fuzzy models", 16th IEEE/PES Transmission and Distribution Conf. and Exposition, 2001, Atlanta, pp. 421-426
[CrossRef]


[12] M. Gavrilas, Gh. Cartina, Gh. Grigoras, O. Ivanov, "Modelarea sarcinilor din retelele electrice", Editura PIM, Iasi, 2006

[13] D. Gerbec, S. Gasperic, and F. Gubina, "Comparison of Different Classification Methods for the Consumers' Load Profile Determination", 17th International Conference on Electricity Distribution, CIRED, Barcelona, vol. Session 6, 2003.



References Weight

Web of Science® Citations for all references: 6,773 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 484 ACR
SCOPUS® Average Citations per reference: 0

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 2021-03-07 12:12 in 29 seconds.




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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.

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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.

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