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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
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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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
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2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  2/2010 - 10

Strategies for Power/Energy Saving in Distribution Networks

GRIGORAS, G. See more information about GRIGORAS, G. on SCOPUS See more information about GRIGORAS, G. on IEEExplore See more information about GRIGORAS, G. on Web of Science, CARTINA, G. See more information about  CARTINA, G. on SCOPUS See more information about  CARTINA, G. on SCOPUS See more information about CARTINA, G. on Web of Science, BOBRIC, E. C. See more information about BOBRIC, E. C. on SCOPUS See more information about BOBRIC, E. C. on SCOPUS See more information about BOBRIC, E. C. on Web of Science
 
Click to see author's profile on 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 (704 KB) | Citation | Downloads: 1,112 | Views: 3,321

Author keywords
power/energy saving, voltage levels, distribution networks, fuzzy techniques

References keywords
energy(12), distribution(8), link(6), transformers(5), techniques(5), grigoras(5), fuzzy(5), clustering(5), cartina(5), efficient(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 61 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02010
Web of Science Accession Number: 000280312600010
SCOPUS ID: 77954634862

Abstract
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Full text preview
The power/energy losses reduction in distribution systems is an important issue during planning and operation, with important technical and economical implications. Thus, the energy losses minimization implies not only the technical improvement of the network, through its renewal with the introduction of the technological innovations in the equipment and circuit components as well as the optimal planning of the design and development of the network, but also requires the use of the methods and software tools to facilitate the operation process. The paper presents a strategy for power/energy saving which replacement of the 6 kV voltage level with 20 kV voltage level in correlation with the extent of using efficient transformers. In this line, different urban distribution networks were analyzed using fuzzy techniques.


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

[1] C. Foote, "Challenges and Opportunities for Distribution Companies", Available: Temporary on-line reference link removed - see the PDF document

[2] G. Cartina, G. Grigoras, E.C. Bobric, Tehnici de Clustering in modelarea fuzzy. Aplicatii in Electroenergetica (Clustering Techniques in Fuzzy Models. Power Systems Applications), Casa de Editura VENUS. Iasi, 2005.

[3] S. Eiken, "Energy Saving by Amorphous Metal Based Transformers"

[4] *** European Commission , "The scope for energy saving in EU through the use of energy-efficient electricity transformers", Available: Temporary on-line reference link removed - see the PDF document

[5] G. Cartina, G. Grigoras, and V. Alexandrescu, "Pilot pattern choosing by clustering and fuzzy techniques", in Proceedings of International Conference Energy-Environment, Bucuresti, pp. 1.13-1.17, 2005.

[6] G. Cartina, G. Grigoras, E. C. Bobric, and C. Lupascu, "Improving of Fuzzy Models by Clustering Techniques in Optimal Reconfiguration of the Distribution Networks", in Proceedings of International World Energy System, Torino, Italia, CD-ROM, 2006.

[7] D. Moore, D. McDonnell, "Smart Grid Vision Meets Distribution Utility Reality", Available: Temporary on-line reference link removed - see the PDF document

[8] *** IEA Secretariat Energy Efficiency Working Party, "Proposal for an International Energy Association Initiative to Promote Energy-Efficient Distribution Transformers", Available: Temporary on-line reference link removed - see the PDF document

[9] *** European Commission , "The scope for energy saving in EU through the use of energy-efficient electricity transformers", Available: Temporary on-line reference link removed - see the PDF document

[10] J. Stalmans, "Loss Reduction in distribution Networks", Available: http://www.pbworld.com/news_events/publications.

[11] E. C. Bobric, G. Cartina, G. Grigoras, "Clustering Techniques in Load Profile Analyze for Distribution Stations", Advances in Electrical and Computer Engineering, No.1, Vol. 9, pp. 63-66, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 15] [SCOPUS Times Cited 20]


[12] E. C. Bobric, G. Cartina, G. Grigoras, "Fuzzy Techniques used for Energy Losses Determination in Medium and Low Voltage Networks", Journal of Electronics and Electrical Engineering, Lituania, Nr. 2 (90), 2009, pp. 95-98.

[13] Polish Copper Promotion Centre and European Copper Institute, "Selecting Energy Efficient Distribution Transformers. A Guide for Achieving Least-Cost Solutions", PROJECT No EIE/05/056/SI2.419632, 2008, Available: Temporary on-line reference link removed - see the PDF document

[14] B. Allaoua, A. Laoufi, "Optimal Power Flow Solution Using Ant Manners for Electrical Network", Advances in Electrical and Computer Engineering, Romania, No.1, Vol. 9, pp. 34-40, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 11] [SCOPUS Times Cited 18]


[15] A. G. Leal, J. A. Jardini, L. C. Magrini, "Distribution Transformer Losses Evaluation: A New Analytical Methodology and Artificial Neural Network Approach", IEEE Trans. on Power Systems, vol. 24, pp. 705-712, 2009.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 13]


References Weight

Web of Science® Citations for all references: 30 TCR
SCOPUS® Citations for all references: 51 TCR

Web of Science® Average Citations per reference: 2 ACR
SCOPUS® Average Citations per reference: 3 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 2017-08-19 08:42 in 25 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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