Evaluating the performances of SVR and XGBoost for short-range forecasting of heatwaves across different temperature zones of India

This research aims to forecast maximum temperatures and the frequency of heatwave days across four different temperature zones (Zone 1, 2, 3 and 4) in India. These four zones are categorized based on the 30-year average maximum temperatures (T30AMT) during the summer months of April, May, and June (...

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Bibliografski detalji

Glavni autori:	Srikanth Bhoopathi, Nitish Kumar, Somesh, Manali Pal
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2024-12-01
Serija:	Applied Computing and Geosciences
Teme:	Daily maximum temperature Heatwave Heatwave days XGBoost and support vector regression
Online pristup:	http://www.sciencedirect.com/science/article/pii/S259019742400051X
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