The design of 100% renewable smart urb an energy systems: the case of Bozen-Bolzano A Menapace, JZ Thellufsen, G Pernigotto, F Roberti, A Gasparella, ... Energy 207, 118198, 2020 | 69 | 2020 |
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 | 63 | 2022 |
Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023) M Niazkar, A Menapace, B Brentan, R Piraei, D Jimenez, P Dhawan, ... Environmental Modelling & Software, 105971, 2024 | 50 | 2024 |
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 | 50 | 2022 |
Uniformly distributed demand EPANET extension A Menapace, D Avesani, M Righetti, A Bellin, G Pisaturo Water resources management 32, 2165-2180, 2018 | 46 | 2018 |
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 | 34 | 2022 |
Calibration procedure for water distribution systems: Comparison among hydraulic models A Zanfei, A Menapace, S Santopietro, M Righetti Water 12 (5), 1421, 2020 | 33 | 2020 |
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 | 28 | 2020 |
Global gradient algorithm extension to distributed pressure driven pipe demand model A Menapace, D Avesani Water Resources Management 33 (5), 1717-1736, 2019 | 27 | 2019 |
Tuning ANN hyperparameters for forecasting drinking water demand A Menapace, A Zanfei, M Righetti Applied Sciences 11 (9), 4290, 2021 | 24 | 2021 |
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 |
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 | 22 | 2019 |
Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: A copula-based approach FML Di Lascio, A Menapace, M Righetti Statistical Methods & Applications 29 (2), 373-395, 2020 | 18 | 2020 |
Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region D Dalla Torre, N Di Marco, A Menapace, D Avesani, M Righetti, B Majone Journal of Hydrology: Regional Studies 52, 101718, 2024 | 17 | 2024 |
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 | 17 | 2022 |
A procedure for human safety assessment during hydropeaking events GR Pisaturo, M Righetti, C Castellana, M Larcher, A Menapace, ... Science of the Total Environment 661, 294-305, 2019 | 17 | 2019 |
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 | 15 | 2023 |
An efficient numerical scheme for the thermo-hydraulic simulations of thermal grids A Menapace, W Boscheri, M Baratieri, M Righetti International Journal of Heat and Mass Transfer 161, 120304, 2020 | 14 | 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 | 13 | 2023 |
EPANET in QGIS framework: the QEPANET plugin A Menapace, GR Pisaturo, A De Luca, D Gerola, M Righetti Journal of Water Supply: Research and Technology—AQUA 69 (1), 1-5, 2020 | 12 | 2020 |