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FACTS & FIGURES

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: 54 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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MOST RECENT ISSUES

 Volume 21 (2021)
 
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SAMPLE ARTICLES

Application of the Firefly Algorithm for Optimizing a Single-switch Class E ZVS Voltage-Source Inverter's Operating Point, KLEMPKA, R., WARADZYN, Z., SKALA, A.
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Shannon Energy Application for Detection of ECG R-peak using Bandpass Filter and Stockwell Transform Methods, SUBOH, M. Z., JAAFAR, R., NAYAN, N. A., HARUN, N. H.
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Improved Classification by Non Iterative and Ensemble Classifiers in Motor Fault Diagnosis, PANIGRAHY, P. S., CHATTOPADHYAY, P.
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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
Starting on the 15th of December 2019 all paper authors are required to enter their SCOPUS IDs. You may use the free SCOPUS ID lookup form to find yours in case you don't remember it.

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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  4/2010 - 17

An advanced strategy for wind speed forecasting using expert 2-D FIR filters

MOGHADDAM, A. A. See more information about MOGHADDAM, A. A. on SCOPUS See more information about MOGHADDAM, A. A. on IEEExplore See more information about MOGHADDAM, A. A. on Web of Science, SEIFI, A. R. See more information about SEIFI, A. R. on SCOPUS See more information about SEIFI, A. R. on SCOPUS See more information about SEIFI, A. 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 (2,239 KB) | Citation | Downloads: 1,310 | Views: 3,462

Author keywords
energy forecasting, FIR filters, image processing, 2-D linear filtering, wind speed

References keywords
wind(17), energy(15), power(11), speed(6), prediction(6), fuzzy(5), forecasting(5), term(4), neural(4), application(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-11-30
Volume 10, Issue 4, Year 2010, On page(s): 103 - 110
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.04017
Web of Science Accession Number: 000284782700017
SCOPUS ID: 78649690688

Abstract
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Renewable energies such as wind and solar have become the most attractive means of electricity generation nowadays. Social and environmental benefits as well as economical issues result in further utilization of such these energy resources. In this regard, wind energy plays an important roll in operation of small-scale power systems like Micro Grid. On the other hand, wind stochastic nature in different time and place horizons, makes accurate forecasting of its behavior an inevitable task for market planners and energy management systems. In this paper an advanced strategy for wind speed estimation has been purposed and its superior performance is compared to that of conventional methods. The model is based on linear predictive filtering and image processing principles using 2-D FIR filters. To show the efficiency of purposed predictive model different FIR filters are designed and tested through similar data. Wind speed data have been collected during the period January 1, 2009 to December 31, 2009 from Casella automatic weather station at Plymouth. It is observed that 2-D FIR filters act more accurately in comparison with 1-D conventional representations; however, their prediction ability varies considerably through different filter sizing.


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Cited-By CrossRef

[1] A Hybrid Model of 2d-DCT and 2d-Mycielski Algorithm for Hourly Global Solar Irradiation, FIDAN, M., SERTSOZ, M., KURBAN, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 20, 2020.
Digital Object Identifier: 10.4316/AECE.2020.02006
[CrossRef] [Full text]

[2] A multi-agent based energy management solution for integrated buildings and microgrid system, Anvari-Moghaddam, Amjad, Rahimi-Kian, Ashkan, Mirian, Maryam S., Guerrero, Josep M., Applied Energy, ISSN 0306-2619, Issue , 2017.
Digital Object Identifier: 10.1016/j.apenergy.2017.06.007
[CrossRef]

[3] Feasibility study of a novel methodology for solar radiation prediction on an hourly time scale: A case study in Plymouth, United Kingdom, Anvari-Moghaddam, A., Monsef, H., Rahimi-Kian, A., Nance, Helen, Journal of Renewable and Sustainable Energy, ISSN 1941-7012, Issue 3, Volume 6, 2014.
Digital Object Identifier: 10.1063/1.4878847
[CrossRef]

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


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