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 (...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Srikanth Bhoopathi, Nitish Kumar, Somesh, Manali Pal
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2024-12-01
סדרה:	Applied Computing and Geosciences
נושאים:	Daily maximum temperature Heatwave Heatwave days XGBoost and support vector regression
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S259019742400051X
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!