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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
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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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  2/2018 - 12

 HIGHLY CITED PAPER 

Application of the Firefly Algorithm for Optimizing a Single-switch Class E ZVS Voltage-Source Inverter's Operating Point

KLEMPKA, R. See more information about KLEMPKA, R. on SCOPUS See more information about KLEMPKA, R. on IEEExplore See more information about KLEMPKA, R. on Web of Science, WARADZYN, Z. See more information about  WARADZYN, Z. on SCOPUS See more information about  WARADZYN, Z. on SCOPUS See more information about WARADZYN, Z. on Web of Science, SKALA, A. See more information about SKALA, A. on SCOPUS See more information about SKALA, A. on SCOPUS See more information about SKALA, A. on Web of Science
 
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Download PDF pdficon (1,416 KB) | Citation | Downloads: 979 | Views: 2,702

Author keywords
artificial intelligence, inverters, melt processing, optimization, power quality

References keywords
inverter(11), resonant(9), induction(9), single(8), electronics(6), quasi(5), power(5), optimization(5), heating(5), switch(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-05-31
Volume 18, Issue 2, Year 2018, On page(s): 93 - 100
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.02012
Web of Science Accession Number: 000434245000012
SCOPUS ID: 85047879787

Abstract
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A continuous development of technology involves a permanent improvement of appliances towards the increase in energy effectiveness, efficiency and precision of operation. This applies also to induction heating equipment. In order to increase the energy effectiveness of the inverter presented in this paper and limit its switching losses, its operating point has been optimized, which required solving a system of two non-linear equations. Due to the complex surface optimization to determine the optimal operating point, a modified firefly algorithm was used, which belongs to the family of intelligent optimization methods. An analysis of the effectiveness of optimization process was carried out, due to the firefly algorithm parameters. A modification of the firefly algorithm was proposed to speed up the optimization and get certainty of finding the global optimum. Theoretical outcomes were compared with the measured experimental results obtained in a real inverter system.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 6
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Cited-By CrossRef

[1] Robust Design Scheme of C-Type Filter Considering Harmonic Dynamic Characteristics of Traction Power Supply System, Wu, Hexiang, Zeng, Liyong, Ren, Qingshuo, Ai, Lei, IEEE Access, ISSN 2169-3536, Issue , 2022.
Digital Object Identifier: 10.1109/ACCESS.2022.3166889
[CrossRef]

[2] Analytical optimization of the filtration efficiency of a group of single branch filters, Klempka, Ryszard, Electric Power Systems Research, ISSN 0378-7796, Issue , 2022.
Digital Object Identifier: 10.1016/j.epsr.2021.107603
[CrossRef]

[3] Optimal Double-Tuned Filter Efficiency Analysis, Klempka, Ryszard, IEEE Transactions on Power Delivery, ISSN 0885-8977, Issue 2, Volume 36, 2021.
Digital Object Identifier: 10.1109/TPWRD.2020.3001831
[CrossRef]

[4] An Arc Furnace as a Source of Voltage Disturbances—A Statistical Evaluation of Propagation in the Supply Network, Klempka, Ryszard, Energies, ISSN 1996-1073, Issue 4, Volume 14, 2021.
Digital Object Identifier: 10.3390/en14041076
[CrossRef]

[5] Firefly Algorithm for Establishing the Optimal Power of DG Units, Irimia, Daniela, Crenguta Bobric, Elena, Stefan Minescu, Radu, 2021 International Conference on Electromechanical and Energy Systems (SIELMEN), ISBN 978-1-6654-0078-7, 2021.
Digital Object Identifier: 10.1109/SIELMEN53755.2021.9600277
[CrossRef]

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


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