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JCR Impact Factor: 1.102
JCR 5-Year IF: 0.734
Issues per year: 4
Current issue: Feb 2021
Next issue: May 2021
Avg review time: 55 days


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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Improved Wind Speed Prediction Using Empirical Mode Decomposition, ZHANG, Y., ZHANG, C., SUN, J., GUO, J.
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LATEST NEWS

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.

2019-Dec-16
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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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  2/2015 - 14

 HIGHLY CITED PAPER 

Design and Implementation of PV based Energy Harvester for WSN Node with MAIC algorithm

RAJENDRAN, H. See more information about RAJENDRAN, H. on SCOPUS See more information about RAJENDRAN, H. on IEEExplore See more information about RAJENDRAN, H. on Web of Science, RAMABADRAN, R. See more information about  RAMABADRAN, R. on SCOPUS See more information about  RAMABADRAN, R. on SCOPUS See more information about RAMABADRAN, R. on Web of Science, SANKARARAJAN, R. See more information about SANKARARAJAN, R. on SCOPUS See more information about SANKARARAJAN, R. on SCOPUS See more information about SANKARARAJAN, R. 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 (975 KB) | Citation | Downloads: 819 | Views: 3,631

Author keywords
DC-DC power converters, energy harvesting photovoltaic cells, solar energy, wireless sensor networks

References keywords
power(19), energy(11), tracking(8), solar(7), point(7), maximum(7), systems(6), system(6), sensor(6), harvesting(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 109 - 116
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02014
Web of Science Accession Number: 000356808900014
SCOPUS ID: 84979846389

Abstract
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Wireless sensor networks (WSNs) are hardly in need of an additional source of power other than the normally used batteries, to increase the lifetime considerably. In this paper, mathematical modeling of photovoltaic energy harvesting (PVEH) system for the WSN is presented. The system comprises of the solar PV panel, boost converter as maximum power point tracker with moving averaged incremental conductance (MAIC) maximum power point (MPP) algorithm, Ni-MH battery for energy storage, compensator, buck regulator and the mathematically modeled WSN mote. MAIC algorithm is proposed to avoid the effect of drastic variations in input irradiance, in locking the MPP point. WSN mote is modeled in both active and sleep state based on the power consumption. To maintain the voltage stability, proper compensator has been designed for the proposed system. The performance of the system is tested for dynamic variations of environmental conditions using MATLAB simulation. The proposed system has 50 to 60 percent improved conversion efficiency when compared to the conventional direct coupling method. The parameters of the photovoltaic panel model have been validated through experimentation. Also the practical verification of the operation of MPPT circuit has been performed.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 5
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Cited-By CrossRef

[1] New String Reconfiguration Technique for Residential Photovoltaic System Generation Enhancement, CORBA, Z., KATIC, V., POPADIC, B., MILICEVIC, D., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.01003
[CrossRef] [Full text]

[2] Design and implementation of piezoelectric energy harvesting circuit, Savarimuthu, Kirubaveni, Sankararajan, Radha, Murugesan, Sudha, Circuit World, ISSN 0305-6120, Issue 2, Volume 43, 2017.
Digital Object Identifier: 10.1108/CW-12-2016-0065
[CrossRef]

[3] Design Testbench for Wireless Sensor Network Based on CC2530 Transceiver, Galkin, Pavlo, 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), ISBN 978-1-7281-4182-4, 2019.
Digital Object Identifier: 10.1109/PICST47496.2019.9061352
[CrossRef]

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


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