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Forecasting Human Bioclimatic Comfort in a Hot–Dry Climate Using Sarimax Machine Learning: Diyarbakır, Turkey

Climate, and especially cities with hot climatic conditions, directly impact human life. In this study, hourly datasets from the central meteorological station in Diyarbakır city center for the years 1990–2022 were utilized. These data were analyzed using RayMan Pro-2.1 software, and Physiological E...

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Principais autores: Ahmet Koç, Murat Uçan, Sülem Şenyiğit Doğan, Mehmet Kaya, Gökhan Şahin, Erdal Akin
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-06-01
Serier:Atmosphere
Fag:
machine learning
RayMan
SARIMAX
bioclimatic comfort
physiological equivalent temperature
Online adgang:https://www.mdpi.com/2073-4433/17/6/620
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