Arslan, A.Titiz, I.E.Gürcan, E.C.Demir, A.2025-01-252025-01-252024979-835037943-3https://doi.org/10.1109/ASYU62119.2024.10757161https://hdl.handle.net/20.500.14365/5845IEEE SMC; IEEE Turkiye SectionThis study investigates the patterns of water consumption in Izmir from January 2015 to January 2024, using a dataset provided by Izmir's Open Data Portal. The research aims to understand how different factors such as district, seasons, and external events like the COVID-19 pandemic influence water usage across the city. By employing statistical analysis and machine learning models including Decision Trees and K-means, this project identifies significant spatial and temporal variations in water consumption. This analysis not only aids in the efficient management of water resources but also serves as a foundation for future predictive modeling and sustainability efforts in urban settings. © 2024 IEEE.eninfo:eu-repo/semantics/closedAccessCovid-19Data ScienceIzmirUrban SustainabilityWater ConsumptionConference Object10.1109/ASYU62119.2024.107571612-s2.0-85213387640