Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption Predictions

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dc.authoridAKSOZ, Ahmet/0000-0002-2563-1218
dc.authoridDurmus Senyapar, Assoc.Prof.Hafize Nurgul/0000-0003-0927-1643
dc.contributor.authorDurmus Senyapar, Hafize Nurgul
dc.contributor.authorAksoz, Ahmet
dc.date.accessioned2024-10-26T18:05:51Z
dc.date.available2024-10-26T18:05:51Z
dc.date.issued2024
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractThis study addresses the critical challenge of accurately forecasting electricity consumption by utilizing Exponential Smoothing and Seasonal Autoregressive Integrated Moving Average (SARIMA) models. The research aims to enhance the precision of forecasting in the dynamic energy landscape and reveals promising outcomes by employing a robust methodology involving model application to a large amount of consumption data. Exponential Smoothing demonstrates accurate predictions, as evidenced by a low Sum of Squared Errors (SSE) of 0.469. SARIMA, with its seasonal ARIMA structure, outperforms Exponential Smoothing, achieving lower Mean Absolute Percentage Error (MAPE) values on both training (2.21%) and test (2.44%) datasets. This study recommends the adoption of SARIMA models, supported by lower MAPE values, to influence technology adoption and future-proof decision-making. This study highlights the societal implications of informed energy planning, including enhanced sustainability, cost savings, and improved resource allocation for communities and industries. The synthesis of model analysis, technological integration, and consumer-centric approaches marks a significant stride toward a resilient and efficient energy ecosystem. Decision-makers, stakeholders, and researchers may leverage findings for sustainable, adaptive, and consumer-centric energy planning, positioning the sector to address evolving challenges effectively and empowering consumers while maintaining energy efficiency.
dc.identifier.doi10.3390/su16072958
dc.identifier.issn2071-1050
dc.identifier.issue7
dc.identifier.scopus2-s2.0-85190249203
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/su16072958
dc.identifier.urihttps://hdl.handle.net/20.500.12418/29222
dc.identifier.volume16
dc.identifier.wosWOS:001201148700001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofSustainability
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectconsumer-centric energy forecasting
dc.subjectexponential smoothing
dc.subjectSARIMA model
dc.subjectenergy sector resource planning
dc.subjectconsumer engagement
dc.subjectstrategic investment
dc.subjectconsumption patterns
dc.titleEmpowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption Predictions
dc.typeArticle

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