A hybrid deep learning algorithm for short-term electric load forecasting

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dc.contributor.authorBulus, Kurtulus
dc.contributor.authorZor, Kasim
dc.date.accessioned2025-01-06T17:43:31Z
dc.date.available2025-01-06T17:43:31Z
dc.date.issued2021
dc.description29th IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUN 09-11, 2021 -- ELECTR NETWORK
dc.description.abstractOver the last two decades, electric load forecasting has strengthened its significant role in electric power systems due to equalising the vital balance between generation and consumption of electrical energy for all actors of deregulated electricity markets. Artificial intelligence-based techniques are frequently used for short-term electric load forecasting owing to the abstruse nature of electric loads that can be influenced by a variety of factors. In this paper, a novel hybrid deep learning algorithm that combines GMDH and GRU networks is meticulously applied for one hour-ahead load forecasting of a large hospital complex. In the proposed algorithm, GMDH and GRU networks are employed for feature selection and prediction respectively. Consequently, the obtained results have demonstrated that the proposed algorithm is capable of reducing mean absolute percentage error by 12% and computational time by 5%.
dc.description.sponsorshipIEEE,IEEE Turkey Sect
dc.identifier.doi10.1109/SIU53274.2021.9477869
dc.identifier.isbn978-1-6654-3649-6
dc.identifier.scopus2-s2.0-85111455449
dc.identifier.scopusquality0
dc.identifier.urihttps://doi.org/10.1109/SIU53274.2021.9477869
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2680
dc.identifier.wosWOS:000808100700298
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof29th Ieee Conference on Signal Processing and Communications Applications (Siu 2021)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectload forecasting
dc.subjectdeep learning
dc.subjectfeature selection
dc.subjectgroup method of data handling (GMDH)
dc.subjectgated recurrent unit (GRU)
dc.titleA hybrid deep learning algorithm for short-term electric load forecasting
dc.title.alternativeKisa dönem elektrik yük tahmini için melez bir derin ö?renme algoritmasi
dc.typeConference Object

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