A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning
Zanutto D, Michalopoulos C, Chatzistefanou G-A, Vamvakeridou-Lyroudia L, Tsiami L, Glynis K, Samartzis P, Hermes L, Hinder F, Vaquet J, Vaquet V, et al. (2024)
In: The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). Basel Switzerland: MDPI: 60.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Zanutto, Dennis;
Michalopoulos, Christos;
Chatzistefanou, Georgios-Alexandros;
Vamvakeridou-Lyroudia, Lydia;
Tsiami, Lydia;
Glynis, Konstantinos;
Samartzis, Panagiotis;
Hermes, LucaUniBi;
Hinder, FabianUniBi;
Vaquet, JonasUniBi;
Vaquet, ValerieUniBi ;
Eliades, Demetrios
Alle
Alle
Einrichtung
Abstract / Bemerkung
This study presents a collaborative framework developed by the Water Futures team of researchers for the “Battle of the Water Demand Forecasting” challenge at the 3rd International WDSA-CCWI Joint Conference. The framework integrates an ensemble of machine learning forecasting models into a deterministic outcome consistent with the competition formulation. The water demand trajectory over a week exhibits complex overlapping patterns and non-linear dependencies to multiple features and time-dependent events that a single model cannot accurately predict. As such, the reconciled forecast from an ensemble of models exceeds the performance of the individual ones and exhibits higher stability across the weeks of the year and district metered areas considered.
Erscheinungsjahr
2024
Titel des Konferenzbandes
The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024)
Seite(n)
60
Urheberrecht / Lizenzen
Konferenz
International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry
Konferenzort
Ferrara, Italy
Konferenzdatum
2024-07-01 – 2024-07-04
Page URI
https://pub.uni-bielefeld.de/record/2992337
Zitieren
Zanutto D, Michalopoulos C, Chatzistefanou G-A, et al. A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning. In: The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). Basel Switzerland: MDPI; 2024: 60.
Zanutto, D., Michalopoulos, C., Chatzistefanou, G. - A., Vamvakeridou-Lyroudia, L., Tsiami, L., Glynis, K., Samartzis, P., et al. (2024). A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning. The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), 60. Basel Switzerland: MDPI. https://doi.org/10.3390/engproc2024069060
Zanutto, Dennis, Michalopoulos, Christos, Chatzistefanou, Georgios-Alexandros, Vamvakeridou-Lyroudia, Lydia, Tsiami, Lydia, Glynis, Konstantinos, Samartzis, Panagiotis, et al. 2024. “A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning”. In The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), 60. Basel Switzerland: MDPI.
Zanutto, D., Michalopoulos, C., Chatzistefanou, G. - A., Vamvakeridou-Lyroudia, L., Tsiami, L., Glynis, K., Samartzis, P., Hermes, L., Hinder, F., Vaquet, J., et al. (2024). “A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning” in The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024) (Basel Switzerland: MDPI), 60.
Zanutto, D., et al., 2024. A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning. In The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). Basel Switzerland: MDPI, pp. 60.
D. Zanutto, et al., “A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning”, The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), Basel Switzerland: MDPI, 2024, pp.60.
Zanutto, D., Michalopoulos, C., Chatzistefanou, G.-A., Vamvakeridou-Lyroudia, L., Tsiami, L., Glynis, K., Samartzis, P., Hermes, L., Hinder, F., Vaquet, J., Vaquet, V., Eliades, D., Polycarpou, M., Koundouri, P., Hammer, B., Savić, D.: A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning. The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). p. 60. MDPI, Basel Switzerland (2024).
Zanutto, Dennis, Michalopoulos, Christos, Chatzistefanou, Georgios-Alexandros, Vamvakeridou-Lyroudia, Lydia, Tsiami, Lydia, Glynis, Konstantinos, Samartzis, Panagiotis, Hermes, Luca, Hinder, Fabian, Vaquet, Jonas, Vaquet, Valerie, Eliades, Demetrios, Polycarpou, Marios, Koundouri, Phoebe, Hammer, Barbara, and Savić, Dragan. “A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning”. The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). Basel Switzerland: MDPI, 2024. 60.
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