Sfoglia per Autore HAO, WENJIN
Mostrati risultati da 1 a 9 di 9
Data-driven Modelling of Urban Water Demand in Major European Cities: the Case Study of Milan, Italy.
2021-01-01 Hao, W.; Cominola, A.; Castelletti, A.
Can Machine Learning Help Human-Water Systems Models “Behave” Better?
2022-01-01 Castelletti, A.; Giuliani, M.; Hao, W.; Veigel, N.; Kreibich, H.; Cominola, A.
Data-driven Modelling of Urban Water Demands across Multiple Spatial and Temporal Scales: The Case Study of Milan, Italy
2022-01-01 Hao, Wenjin; Cominola, Andrea; Castelletti, ANDREA FRANCESCO
Multi-scale Modelling of Urban Water Demand under Urban Development and Societal Uncertainties: The Case Study of Milan, Italy
2022-01-01 Hao, Wenjin; Cominola, Andrea; Castelletti, ANDREA FRANCESCO
Comparing Predictive Machine Learning Models for Short-and Long-Term Urban Water Demand Forecasting in Milan, Italy
2022-01-01 Hao, Wenjin; Cominola, Andrea; Castelletti, Andrea
A Neural Granger Causality Inference Approach to Identify Meteorological and Socio-Demographic Drivers of Urban Water Demand in the Contiguous United States
2023-01-01 Hao, Wenjin; Cominola, Andrea; Castelletti, Andrea
Evaluating the Value of Water Demand Forecasts for Real-Time Operation of Water Distribution Networks
2023-01-01 Hao, Wenjin; Cominola, Andrea; Castelletti, Andrea
From Correlation to Causation: Discovering the Drivers of Urban Water Demands in the Contiguous United States
2023-01-01 Hao, Wenjin; Cominola, Andrea; Castelletti, Andrea
Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand
2024-01-01 Hao, Wenjin; Cominola, Andrea; Castelletti, Andrea
Mostrati risultati da 1 a 9 di 9
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