HAO, WENJIN

HAO, WENJIN  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Risultati 1 - 9 di 9 (tempo di esecuzione: 0.009 secondi).
Titolo Data di pubblicazione Autori File
A Neural Granger Causality Inference Approach to Identify Meteorological and Socio-Demographic Drivers of Urban Water Demand in the Contiguous United States 1-gen-2023 Wenjin HaoAndrea Castelletti +
Can Machine Learning Help Human-Water Systems Models “Behave” Better? 1-gen-2022 Castelletti A.M. GiulianiW. Hao +
Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand 1-gen-2024 Hao, WenjinCominola, AndreaCastelletti, Andrea
Comparing Predictive Machine Learning Models for Short-and Long-Term Urban Water Demand Forecasting in Milan, Italy 1-gen-2022 Wenjin HaoAndrea Castelletti +
Data-driven Modelling of Urban Water Demand in Major European Cities: the Case Study of Milan, Italy. 1-gen-2021 Hao, W.Castelletti, A. +
Data-driven Modelling of Urban Water Demands across Multiple Spatial and Temporal Scales: The Case Study of Milan, Italy 1-gen-2022 Wenjin HaoAndrea Castelletti +
Evaluating the Value of Water Demand Forecasts for Real-Time Operation of Water Distribution Networks 1-gen-2023 Wenjin HaoAndrea Castelletti +
From Correlation to Causation: Discovering the Drivers of Urban Water Demands in the Contiguous United States 1-gen-2023 Wenjin HaoAndrea Castelletti +
Multi-scale Modelling of Urban Water Demand under Urban Development and Societal Uncertainties: The Case Study of Milan, Italy 1-gen-2022 Wenjin HaoAndrea Castelletti +