Data-driven pathways to sustainable energy solutions

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dc.contributor.authorDanish, Mir Sayed Shah
dc.contributor.authorAhmadi, Mikaeel
dc.contributor.authorIbrahimi, Abdul Matin
dc.contributor.authorDinçer, Hasan
dc.contributor.authorZahra, Shirmohammadi
dc.contributor.authorKhosravy, Mahdi
dc.contributor.authorSenjyu, Tomonobu
dc.date.accessioned2025-10-16T11:44:37Z
dc.date.available2025-10-16T11:44:37Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractIn the rapidly evolving world of the energy sector, harnessing the power of neural networks and machine learning becomes crucial. This chapter deals with the intricate dimensions of datasets, delineating their types, structures, and classifications that are particularly relevant to energy-related applications. A meticulous exploration of data processing techniques, emphasizing preparation, transformation, labeling, and augmentation, is presented. Additionally, a comparative analysis of optimization algorithms clarifies their role in refining energy-focused models. The complexities, computation times, and accuracies of these optimizers are highlighted. Furthermore, the importance of hyperparameters, their optimal configurations, and the significance of adept tuning are underscored. Serving as a comprehensive guide, this chapter aims to bridge the knowledge gap of stakeholders in the energy domain, providing actionable insights into best practices for data-driven decision-making processes.
dc.identifier.citationDanish, M. S. S., Ahmadi, M., Ibrahimi, A. M., Dinçer, H., Zahra, S., Khosravy, M. ... Senjyu, T. (2024). Data-driven pathways to sustainable energy solutions. Unified Vision for a Sustainable Future: A Multidisciplinary Approach Towards the Sustainable Development Goals içinde (1-31. ss.). Springer Nature. http://dx.doi.org/10.1007/978-3-031-53574-1_1
dc.identifier.doi10.1007/978-3-031-53574-1_1
dc.identifier.endpage31
dc.identifier.isbn9783031535741
dc.identifier.isbn9783031535734
dc.identifier.scopus2-s2.0-85207184269
dc.identifier.startpage1
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-031-53574-1_1
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13116
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorid0000-0002-8072-031X
dc.language.isoen
dc.publisherSpringer Nature
dc.relation.ispartofUnified Vision for a Sustainable Future: A Multidisciplinary Approach Towards the Sustainable Development Goals
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSustainable Energy Solutions
dc.subjectEnergy-Related Applications
dc.subjectData
dc.titleData-driven pathways to sustainable energy solutions
dc.typeBook Chapter

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