Comparative Analysis of Time Series Forecasting Models for Predicting Hydrogen Fuel-Related Stock in the Indian Market
The study compares the capabilities of various time series and machine learning models including ARIMA, LSTM, CatBoost, XGBoost, and LightGBM, by predicting the equity movement for major Indian infrastructure and energy companies with hydrogen related exposure, namely Larsen & Toubro, NTPC Limited,...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Ram Arti Publishers
2026-06-01
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| Col·lecció: | International Journal of Mathematical, Engineering and Management Sciences |
| Matèries: | |
| Accés en línia: | https://www.ijmems.in/cms/storage/app/public/uploads/volumes/58-IJMEMS-25-0950-11-3-1424-1443-2026.pdf |
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