| Graph convolutional recurrent neural networks for water demand forecasting A Zanfei, BM Brentan, A Menapace, M Righetti, M Herrera Water Resources Research 58 (7), e2022WR032299, 2022 | 32 | 2022 |
| Short-term hydropower optimization driven by innovative time-adapting econometric model D Avesani, A Zanfei, N Di Marco, A Galletti, F Ravazzolo, M Righetti, ... Applied Energy 310, 118510, 2022 | 27 | 2022 |
| A digital twin of a water distribution system by using graph convolutional networks for pump speed-based state estimation CA Bonilla, A Zanfei, B Brentan, I Montalvo, J Izquierdo Water 14 (4), 514, 2022 | 26 | 2022 |
| Novel approach for burst detection in water distribution systems based on graph neural networks A Zanfei, A Menapace, BM Brentan, M Righetti, M Herrera Sustainable Cities and Society 86, 104090, 2022 | 25 | 2022 |
| Calibration procedure for water distribution systems: Comparison among hydraulic models A Zanfei, A Menapace, S Santopietro, M Righetti Water 12 (5), 1421, 2020 | 25 | 2020 |
| An ensemble neural network model to forecast drinking water consumption A Zanfei, A Menapace, F Granata, R Gargano, M Frisinghelli, M Righetti Journal of Water Resources Planning and Management 148 (5), 04022014, 2022 | 22 | 2022 |
| Tuning ANN hyperparameters for forecasting drinking water demand A Menapace, A Zanfei, M Righetti Applied Sciences 11 (9), 4290, 2021 | 22 | 2021 |
| Burst detection in water distribution systems: The issue of dataset collection A Menapace, A Zanfei, M Felicetti, D Avesani, M Righetti, R Gargano Applied Sciences 10 (22), 8219, 2020 | 21 | 2020 |
| Optimal selection and monitoring of nodes aimed at supporting leakages identification in WDS M Righetti, CMG Bort, M Bottazzi, A Menapace, A Zanfei Water 11 (3), 629, 2019 | 19 | 2019 |
| A short-term water demand forecasting model using multivariate long short-term memory with meteorological data A Zanfei, BM Brentan, A Menapace, M Righetti Journal of Hydroinformatics 24 (5), 1053-1065, 2022 | 16 | 2022 |
| How does missing data imputation affect the forecasting of urban water demand? A Zanfei, A Menapace, BM Brentan, M Righetti Journal of Water Resources Planning and Management 148 (11), 04022060, 2022 | 8 | 2022 |
| Calibration of water leakages and valve setting in a real water supply system A Zanfei, A Menapace, GR Pisaturo, M Righetti Environmental Sciences Proceedings 2 (1), 41, 2020 | 7 | 2020 |
| An artificial intelligence approach for managing water demand in water supply systems A Zanfei, A Menapace, M Righetti IOP Conference Series: Earth and Environmental Science 1136 (1), 012004, 2023 | 6 | 2023 |
| Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment A Zanfei, A Menapace, BM Brentan, R Sitzenfrei, M Herrera Water Research 242, 120264, 2023 | 5 | 2023 |
| An Investigation on the Effect of Leakages on the Water Quality Parameters in Distribution Networks D Barros, I Almeida, A Zanfei, G Meirelles, E Luvizotto Jr, B Brentan Water 15 (2), 324, 2023 | 4 | 2023 |
| Micro hydro power generation in water distribution networks through the optimal pumps-as-turbines sizing and control MK Kostner, A Zanfei, JC Alberizzi, M Renzi, M Righetti, A Menapace Applied Energy 351, 121802, 2023 | 3 | 2023 |
| Statistical and machine learning downscaling methods to assess changes to rainfall amounts and frequency in climate change context-CMIP 6 DA Jimenez Osorio, A Menapace, A Zanfei, EJ de Andrade Pinto, ... Hydrology and Earth System Sciences Discussions 2023, 1-28, 2023 | 2 | 2023 |
| Assessment of ERA5-Land Data in Medium-Term Drinking Water Demand Modelling with Deep Learning P Dhawan, D Dalla Torre, A Zanfei, A Menapace, M Larcher, M Righetti Water 15 (8), 1495, 2023 | 2 | 2023 |
| Assessment of the short-term streamflow forecasting using machine learning fed by Deutscher Wetterdienst ICON climate forecasting model A Menapace, D Dalla Torre, A Zanfei, P Dhawan, M Larcher, M Righetti Proceedings of the 39th World Congress of IAHR: from snow to sea, 4915-4921, 2022 | 2 | 2022 |
| Data-driven streamflow forecasting analysis leveraging multiple meteorological providers D Dalla Torre, A Menapace, A Zanfei, M Righetti EGU General Assembly Conference Abstracts, EGU-11347, 2023 | 1 | 2023 |
Andrea MenapaceFree University of Bozen - BolzanoVerified email at unibz.it
