| Active learning for anomaly detection in environmental data S Russo, M Lürig, W Hao, B Matthews, K Villez Environmental Modelling & Software 134, 104869, 2020 | 80 | 2020 |
| Comparing predictive machine learning models for short-and long-term urban water demand forecasting in Milan, Italy W Hao, A Cominola, A Castelletti IFAC-PapersOnLine 55 (33), 92-98, 2022 | 15 | 2022 |
| Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand W Hao, A Cominola, A Castelletti Environmental Research: Infrastructure and Sustainability 4 (3), 035005, 2024 | 8 | 2024 |
| Short‐term memory and regional climate drive city‐scale water demand in the Contiguous US W Hao, A Cominola, A Castelletti Earth's Future 13 (1), e2024EF004415, 2025 | 3 | 2025 |
| A Water Demand Forecast-informed Framework for Optimal Control of Urban Water Distribution Networks W Hao, A Cominola, I Vertommen, A Castelletti EGU24, 2024 | | 2024 |
| A Neural Granger Causality Inference Approach to Identify Meteorological and Socio-Demographic Drivers of Urban Water Demand in the Contiguous United States W Hao, A Cominola, A Castelletti AGU General Assembly 2023, 2023 | | 2023 |
| Evaluating the Value of Water Demand Forecasts for Real-Time Operation of Water Distribution Networks W Hao, A Cominola, A Castelletti AGU General Assembly 2023, 2023 | | 2023 |
| From Correlation to Causation: Discovering the Drivers of Urban Water Demands in the Contiguous United States W Hao, A Cominola, A Castelletti EGU General Assembly 2023, 2023 | | 2023 |
| Machine Learning advances behavioral modelling in human-water systems across scales A Cominola, M Giuliani, W Hao, N Veigel, H Kreibich, A Castelletti Fall Meeting 2022, 2022 | | 2022 |
| Can Machine Learning Help Human-Water Systems Models “Behave” Better? A Castelletti, M Giuliani, W Hao, N Veigel, H Kreibich, A Cominola AGU Frontiers in Hydrology Meeting Abstracts, 2022 | | 2022 |
| Data-driven Modelling of Urban Water Demands across Multiple Spatial and Temporal Scales: The Case Study of Milan, Italy W Hao, A Cominola, A Castelletti IWA World Water Congress & Exhibition 2022, 2022 | | 2022 |
| Multi-scale Modelling of Urban Water Demand under Urban Development and Societal Uncertainties: The Case Study of Milan, Italy W Hao, A Cominola, A Castelletti EGU General Assembly 2022, 2022 | | 2022 |
| Data-driven Modelling of Urban Water Demand in Major European Cities: the Case Study of Milan, Italy. W Hao, A Cominola, A Castelletti Book of Abstract AGU 2021, 2021 | | 2021 |
| From reservoir inflow prediction to increasing hydropower generation: a Machine Learning-based FIRO strategy in Southern Africa M Giuliani, W Hao, W Arnold, A Ficchì, A Castelletti AGU25, 0 | | |
Andrea CastellettiProfessor, Politecnico di Milano - CMCCVerified email at polimi.it
