Turkey Long-Term Energy Consumption Prediction Using Whale Optimization Algorithm

dc.contributor.author Babaoğlu, Merve
dc.contributor.author Haznedar,Bülent
dc.contributor.other 17.01. Department of Computer Technologies / Bilgisayar Teknolojileri Bölümü
dc.contributor.other 17. Vocational Higher School / Meslek Yüksekokulu
dc.contributor.other 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
dc.date.accessioned 2023-12-14T10:33:35Z
dc.date.available 2023-12-14T10:33:35Z
dc.date.issued 2021
dc.description.abstract Energy is one of the most important topics for the sustainable development of countries. Due to the fact that the energy used can be depleted, it imports many energy sources, and environmental factors, it is of great importance for Turkey to predict how much energy needs may be in the future. In this study, whale optimization algorithm (BOA) was preferred from heuristic algorithms in order to be able to estimate Turkey's energy demand until 2040. In order to determine the performance of the whale optimization algorithm, the results were compared with the genetic algorithm (GA). All models are arranged linearly and squared and the result is obtained. Data for independent variables such as gross domestic product (GDP), population, imports and exports affecting energy demand were used between 1990 and 2019. Modeling of the past 30 years has been provided to calculate the accuracy of the results. After obtaining the most suitable model, calculations were made according to 4 different scenarios for the next 20 years. en_US
dc.identifier.citation M. Babaoğlu and B. Haznedar, "Turkey Long-Term Energy Consumption Prediction Using Whale Optimization Algorithm," 2021 29th Signal Processing and Communications Applications Conference (SIU), Istanbul, Turkey, 2021, pp. 1-4, doi: 10.1109/SIU53274.2021.9477889. en_US
dc.identifier.doi 10.1109/SIU53274.2021.9477889
dc.identifier.uri 10.1109/SIU53274.2021.9477889
dc.identifier.uri https://hdl.handle.net/20.500.12514/4694
dc.language.iso tr en_US
dc.publisher IEEE(Institute of Electrical and Electronics Engineers) en_US
dc.relation.ispartof 2021 29th Signal Processing and Communications Applications Conference (SIU) en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Genetic algorithms en_US
dc.subject Mathematical model en_US
dc.subject Optimization en_US
dc.subject Spirals en_US
dc.subject Signal processing algorithms en_US
dc.subject Prediction algorithms en_US
dc.subject Energy consumption en_US
dc.title Turkey Long-Term Energy Consumption Prediction Using Whale Optimization Algorithm en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id 0000-0003-3030-8690
gdc.author.institutional Babaoglu, Merve
gdc.author.institutional Haznedar, Bülent
gdc.description.department MAÜ, Meslek Yüksekokulları, Mardin Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümü en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
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relation.isAuthorOfPublication.latestForDiscovery c3afaa01-6899-4982-9069-829f3a665909
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