Keywords and phrases: SARIMA model, XGBoost model.
Received: December 1, 2023; Accepted: March 6, 2024; Published: April 3, 2024
How to cite this article: Fatima Haisha S. Beyuta, Danilo G. Langamin, Keith Einstein R. Pon, Hounam B. Copel and Rosalio G. Artes Jr., Applications of XGBoost and SARIMA forecasting models on water consumption of MSU-TCTO: a data-driven approach to water resource management, Advances and Applications in Statistics 91(5) (2024), 597-614. http://dx.doi.org/10.17654/0972361724032
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References:
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