BUILDING A SYSTEM CAPABLE OF PREDICTING RENEWABLE ENERGY CONSUMPTION AND POWER IMBALANCES ON GRID

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dc.contributor.authorAl Dabbagh, Nayyef Sami
dc.contributor.authorHamodat, Zaid Musaab
dc.contributor.authorBasheer, Ayman Ghassan
dc.date.accessioned2025-02-06T18:01:22Z
dc.date.available2025-02-06T18:01:22Z
dc.date.issued2023
dc.departmentAltınbaş Üniversitesien_US
dc.description.abstractEnergy utilization and the board are enormous issues in a culture where we just develop our utilization of force in our day-to-day existences. For power framework administrators, estimating electric energy request is an imperative part of matrix the executives. The necessity of anticipating a specific household's daily energy usage affects the end-user as well, in light of the ideal plan and size of an environmentally friendly power framework and energy stockpiling. The motivation behind this postulation is to plan and prepare a PC framework equipped for determining home power use with as much precision as possible. At last, gauging of the ideal models made with the experiences assembled all through the exploration was performed and looked at over various uncommonly chosen time spans. The outcomes exhibited how, with the legitimate data sources and hyperparameter determination, a shallow ANN can give specific exactness in estimating electric energy interest. What's more, a procedure for creating and it is given to prepare a fake brain organization. © 2023, International Organization on 'Technical and Physical Problems of Engineering'. All rights reserved.en_US
dc.identifier.endpage269en_US
dc.identifier.issn2077-3528
dc.identifier.issue57en_US
dc.identifier.scopus2-s2.0-85183157401
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage262en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5357
dc.identifier.volume15en_US
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherInternational Organization on 'Technical and Physical Problems of Engineering'en_US
dc.relation.ispartofInternational Journal on Technical and Physical Problems of Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKA_Scopus_20250206
dc.subjectArtificial Neural Networks (ANN)en_US
dc.subjectEnergy Storageen_US
dc.subjectRenewable Energy Systemen_US
dc.titleBUILDING A SYSTEM CAPABLE OF PREDICTING RENEWABLE ENERGY CONSUMPTION AND POWER IMBALANCES ON GRIDen_US
dc.typeArticleen_US

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