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JCR Impact Factor: 0.700
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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.

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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.

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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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  2/2020 - 6

A Hybrid Model of 2d-DCT and 2d-Mycielski Algorithm for Hourly Global Solar Irradiation

FIDAN, M. See more information about FIDAN, M. on SCOPUS See more information about FIDAN, M. on IEEExplore See more information about FIDAN, M. on Web of Science, SERTSOZ, M. See more information about  SERTSOZ, M. on SCOPUS See more information about  SERTSOZ, M. on SCOPUS See more information about SERTSOZ, M. on Web of Science, KURBAN, M. See more information about KURBAN, M. on SCOPUS See more information about KURBAN, M. on SCOPUS See more information about KURBAN, M. on Web of Science
 
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Download PDF pdficon (2,094 KB) | Citation | Downloads: 936 | Views: 2,368

Author keywords
discrete cosine transform, forecasting, modeling, prediction, solar energy

References keywords
solar(34), energy(28), radiation(24), forecasting(15), hourly(14), global(13), renewable(12), model(11), neural(10), management(8)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-05-31
Volume 20, Issue 2, Year 2020, On page(s): 45 - 54
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.02006
Web of Science Accession Number: 000537943500006
SCOPUS ID: 85087447882

Abstract
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In this work, hourly solar irradiation is defined as a two-dimensional discrete signal. This two-dimensional discrete signal is modeled by a novel hybrid approach, which includes both deterministic and stochastic processes. The variables of the two-dimensional model are the hour and the day of each solar irradiation measurement. The deterministic process is modeled by two-dimensional discrete cosine transform. The two-dimensional discrete cosine transform finds the coefficients of two-dimensional cosine harmonics of the solar irradiation data. In the proposed model, two-dimensional discrete cosine transform is applied at two levels for obtaining an accurate deterministic model. The stochastic process is modeled by two-dimensional Mycielski algorithm, which is developed for searching repeats of two-dimensional neighborhood pattern of the sample to be predicted in the data and making predictions which depend on the closest repeat of the largest neighborhood pattern. A novel model is obtained for hourly solar irradiation, which fits both deterministic and stochastic processes by the combination of two models. The proposed model is benchmarked with the selected distinguished methods in the literature. The obtained comparative results demonstrate success of the proposed model.


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


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