An Ensemble-Learning-Based Method for Short-Term Water Demand Forecasting
Author:
Funder
Beibu Gulf University
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-021-02808-4.pdf
Reference24 articles.
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3. Banjac G, Vašak M, Baotic M (2015) Adaptable urban water demand prediction system. Water Sci Tech-W Sup 15(5):958–963
4. Borra S, Ciaccio AD (2002) Improving nonparametric regression methods by bagging and boosting. Comput Stat Data An 38(4):407–420
5. Bougadis J, Adamowski K, Diduch R (2005) Short-term municipal water demand forecasting. Hydrol Process 19(1):137–148
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