Please use this identifier to cite or link to this item: https://scholar.ptuk.edu.ps/handle/123456789/1062
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dc.contributor.authorMallak, Saed-
dc.contributor.authorKanan, Mohammad-
dc.contributor.authorAlsadi, Samer-
dc.contributor.authorSabbah, Ghadeer-
dc.contributor.authorZahran, Siraj-
dc.contributor.authorAttar, Hani-
dc.contributor.authorHamdan, Allam-
dc.date.accessioned2023-07-24T07:23:13Z-
dc.date.available2023-07-24T07:23:13Z-
dc.date.issued2023-03-01-
dc.identifier.citationMallak, S., Kanan, M., Alsadi, S., Sabbah, G., Zahran, S., Attar, H., & Hamdan, A. (2023). Predicting the Behavior of Solar Energy in Tulkarm City Using Markov Chains and Fuzzy Markov Chains. Appl. Math, 17(2), 285-292.‏en_US
dc.identifier.urihttps://scholar.ptuk.edu.ps/handle/123456789/1062-
dc.description.abstract: In this paper, we predict the behavior of solar energy in Tulkarm city, Palestine, using Markov chains and fuzzy Markov chains. Relying on solar radiation data in Tulkarm city during 2013–2016, two models are built that correspond to each season. A year is divided into four seasons, each of which consists of three months. Data from the period 2013–2015 are used to build the models, whereas data from 2016 is compared with the results. The accuracy of the models was better in the summer and winter.en_US
dc.publisherApplied Mathematics & Information Sciencesen_US
dc.relation.ispartofseries17, 2;285-292-
dc.subjectSolar energyen_US
dc.subjectMarkov chainen_US
dc.subjectFuzzy numbersen_US
dc.subjectFuzzy Markov chainen_US
dc.titlePredicting the Behavior of Solar Energy in Tulkarm City Using Markov Chains and Fuzzy Markov Chainsen_US
dc.typeArticleen_US
dc.identifier.doi10.18576/amis/170211-
Appears in Collections:Engineering and Technology Faculty

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