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 (...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Elsevier
2024-12-01
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| Rangatū: | Applied Computing and Geosciences |
| Ngā marau: | |
| Urunga tuihono: | http://www.sciencedirect.com/science/article/pii/S259019742400051X |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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