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 (...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Srikanth Bhoopathi, Nitish Kumar, Somesh, Manali Pal
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2024-12-01
Sarja:	Applied Computing and Geosciences
Aiheet:	Daily maximum temperature Heatwave Heatwave days XGBoost and support vector regression
Linkit:	http://www.sciencedirect.com/science/article/pii/S259019742400051X
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