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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Nov 2018
Next issue: Feb 2019
Avg review time: 83 days


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

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


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 Volume 18 (2018)
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 Volume 15 (2015)
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Energy Efficient Control of High Speed IPMSM Drives - A Generalized PSO Approach, GECIC, M., KAPETINA, M., MARCETIC, D.
Issue 1/2016


Improving Voltage Profile and Optimal Scheduling of Vehicle to Grid Energy based on a New Method, NAZARLOO, A., FEYZI, M. R., SABAHI, M., BANNAE SHARIFIAN, M. B.
Issue 1/2018


Three-Level Delta Modulation for Laplacian Source Coding, DENIC, B., PERIC, Z., DESPOTOVIC, V.
Issue 1/2017


An Evolutionary Approach to the Soft Error Mitigation Technique for Cell-Based Design, PARK, J. K., KIM, J. T.
Issue 1/2015


Fault Detection Variants of the CloudBus Protocol for IoT Distributed Embedded Systems, BARKALOV, A., TITARENKO, L., ANDRZEJEWSKI, G., KRZYWICKI, K., KOLOPIENCZYK, M.
Issue 2/2017


Analysis of Steady-State Error in Torque Current Component Control of PMSM Drive, BRANDSTETTER, P., NEBORAK, I., KUCHAR, M.
Issue 2/2017



Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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.

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.

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  3/2015 - 22

Characteristics of Overvoltage Protection with Cascade Application of Surge Protective Devices in Low-Voltage AC Power Circuits

RADULOVIC, V. See more information about RADULOVIC, V. on SCOPUS See more information about RADULOVIC, V. on IEEExplore See more information about RADULOVIC, V. on Web of Science, MUJOVIC, S. See more information about  MUJOVIC, S. on SCOPUS See more information about  MUJOVIC, S. on SCOPUS See more information about MUJOVIC, S. on Web of Science, MILJANIC, Z. See more information about MILJANIC, Z. on SCOPUS See more information about MILJANIC, Z. on SCOPUS See more information about MILJANIC, Z. 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 (1,517 KB) | Citation | Downloads: 313 | Views: 1,903

Author keywords
arresters, high-voltage techniques, insulation testing, surges, surge protection

References keywords
power(18), voltage(16), surge(11), protection(9), standard(7), delivery(6), systems(5), protective(5), devices(5), part(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 153 - 160
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03022
Web of Science Accession Number: 000360171500022
SCOPUS ID: 84940747330

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Surge Protective Devices (SPDs) are widely used for protection of the equipment in low-voltage AC power circuits against wide variety of surges. Cascade application of SPDs starting at the service entrance of a building and downstream toward near sensitive equipment is intended to ensure optimal energy distribution among installed SPDs, as well as proper equipment protection against surges. Characteristics of overvoltage protection with two-stage application of SPDs have been analyzed in the paper through performed measurements, followed by simulations and numerical modeling using the ATP/EMTP and MATLAB Simulink. Parametric analysis of the protection's characteristics in wide range of influencing factors has been performed in order to define a set of applicable solutions for proper selection and performance of SPDs.

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[1] Coordination of surge protective devices in low voltage AC power installations, Radulović, Vladan, Mujović, Saša, SN Applied Sciences, ISSN 2523-3963, Issue 1, Volume 1, 2019.
Digital Object Identifier: 10.1007/s42452-018-0003-1

[2] Analysis on design method of signal system surge protection devices, Li, Xiangchao, Cai, Lujin, Xu, Xiaopei, International Journal of Applied Electromagnetics and Mechanics, ISSN 1383-5416, Issue 4, Volume 56, 2018.
Digital Object Identifier: 10.3233/JAE-170069

[3] An Improved Structure of an Adaptive Excitation Control System Operating under Short-Circuit, FILIP, I., PROSTEAN, O., VASAR, C., SZEIDERT, I., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.02006
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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