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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: Nov 2024
Next issue: Feb 2025
Avg review time: 56 days
Avg accept to publ: 60 days
APC: 300 EUR


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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  2/2021 - 9

 HIGHLY CITED PAPER 

Generalized Model of Economic Dispatch Optimization as an Educational Tool for Management of Energy Systems

PAPAZIS, S. A. See more information about PAPAZIS, S. A. on SCOPUS See more information about PAPAZIS, S. A. on IEEExplore See more information about PAPAZIS, S. A. on Web of Science, BAKOS, G. C. See more information about BAKOS, G. C. on SCOPUS See more information about BAKOS, G. C. on SCOPUS See more information about BAKOS, G. C. on Web of Science
 
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Download PDF pdficon (1,622 KB) | Citation | Downloads: 885 | Views: 2,364

Author keywords
engineering education, energy management, economics, power generation dispatch, algorithms

References keywords
power(31), economic(31), dispatch(30), systems(22), optimization(13), tpwrs(10), swarm(10), energy(9), education(7), dynamic(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-05-31
Volume 21, Issue 2, Year 2021, On page(s): 75 - 86
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.02009
Web of Science Accession Number: 000657126200009
SCOPUS ID: 85107673351

Abstract
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The available literature about Economic Dispatch ED problems is rich. In most of the cases the readers need specialized multidisciplinary knowledge of control systems, advanced optimization techniques, computers software and energy systems. Integration of ED problems in syllabus of economic management of energy systems requires knowledge of control engineering, and economics. There is a gap of knowledge between classical control theory most of graduates possess, and necessary advanced optimal control techniques for working in the field of ED problems. This article presents an educational generalized method EGM_ED for modeling, and solving the optimization of ED problems of thermal energy systems, using matrix mathematics, and matlab software. The solution is deducted mathematically, computed with matrices, and do not uses solvers from toolboxes. Can be applied in many different situations of energy systems with big numbers of generators. EGM_ED method is easier accessed by students, early carrier engineers, and practitioners. Using our matrix-based modelling for solving ED problems will offer access to students, and to other interested people to better learn, specialize and take critical managerial decisions in related energy industry jobs.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 7
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Cited-By CrossRef

[1] State Transitions Logical Design for Hybrid Energy Generation with Renewable Energy Sources in LNG Ship, Stamatakis, Michael E., Ioannides, Maria G., Energies, ISSN 1996-1073, Issue 22, Volume 14, 2021.
Digital Object Identifier: 10.3390/en14227803
[CrossRef]

[2] Design and Operation of Internet of Things-Based Monitoring Control System for Induction Machines, Ioannides, Maria, Koukoutsis, Elias, Stamelos, Anastasios, Papazis, Stylianos, Stamataki, Erofili, Papoutsidakis, Athanasios, Vikentios, Vasilios, Apostolakis, Nikolaos, Stamatakis, Michael, Energies, ISSN 1996-1073, Issue 7, Volume 16, 2023.
Digital Object Identifier: 10.3390/en16073049
[CrossRef]

[3] Internet of Things-Based Control of Induction Machines: Specifics of Electric Drives and Wind Energy Conversion Systems, Ioannides, Maria G., Stamelos, Anastasios P., Papazis, Stylianos A., Stamataki, Erofili E., Stamatakis, Michael E., Energies, ISSN 1996-1073, Issue 3, Volume 17, 2024.
Digital Object Identifier: 10.3390/en17030645
[CrossRef]

[4] Energy Management in a Super-Tanker Powered by Solar, Wind, Hydrogen and Boil-Off Gas for Saving CO2 Emissions, Stamatakis, Michael E., Stamataki, Erofili E., Stamelos, Anastasios P., Ioannides, Maria G., Electronics, ISSN 2079-9292, Issue 8, Volume 13, 2024.
Digital Object Identifier: 10.3390/electronics13081567
[CrossRef]

[5] Integrated Economic Optimization of Hybrid Thermosolar Concentrating System Based on Exact Mathematical Method, Papazis, Stylianos, Energies, ISSN 1996-1073, Issue 19, Volume 15, 2022.
Digital Object Identifier: 10.3390/en15197019
[CrossRef]

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


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