Publications

Zaghini A., Gagliardi F., Marsili V., Mazzoni F., Tirello L., Alvisi S., Franchini M., 2024. A pragmatic approach for chlorine decay modelling in multiple-source water distribution networks based on trace analysis. Water, 16(2), 345. https://doi.org/10.3390/w16020345 

Alvisi S., Casellato F., Franchini M., Govoni M., Luciani C., Poltronieri F., Riberto G., Stefanelli C., Tortonesi M., 2020. Wireless Middleware Solutions for Smart Water Metering. Water, 19(8), 1853. https://doi.org/10.3390/s19081853 

Foglianti G., Alvisi S., Franchini M., Todini E., 2020. Extending the Global-Gradient Algorithm to Solve Pressure-Control Valves. Journal of Water Resources Planning and Management, 146(8), 04020055. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001247 

Alvisi S., Luciani C., Franchini M., 2019. Using water consumption smart metering for water loss assessment in a DMA: a case study. Urban Water Journal, 16(1). https://doi.org/10.1080/1573062X.2019.1633675 

Luciani C., Casellato F., Alvisi S., Franchini M., 2019. Green Smart Technology for Water (GST4Water): Water Loss Identification at User Level by Using Smart Metering Systems. Water, 11(3), 405. https://doi.org/10.3390/w11030405

Pacchin E., Alvisi S., Franchini, M., 2017. Analysis of Non-Iterative Methods and Proposal of a New One for Pressure-Driven Snapshot Simulations with EPANET. Water Resources Management, 31, 75-91. https://doi.org/10.1007/s11269-016-1511-7 

Alvisi S., Franchini M., 2015. A heuristic procedure for the automatic creation of district metered areas in water distribution systems. Urban Water Journal, 11(2), 137-159. https://doi.org/10.1080/1573062X.2013.768681 

Gavanelli M., Nonato M., Peano A., Alvisi S., Franchini M., 2015. Scheduling countermeasures to contamination events by genetic algorithms. AI Communications: The European Journal on Artificial Intelligence, 28(2), 259-282. https://doi.org/10.3233/AIC-140638 

Alvisi S., Franchini M., 2014. Water distribution systems: Using linearized hydraulic equations within the framework of ranking-based optimization algorithms to improve their computational efficiency. Environmental Modelling and Software, 27, 33-39. https://doi.org/10.1016/j.envsoft.2014.03.012 

Alvisi S., Franchini M., Gavanelli M., Nonato M., 2012. Near-optimal scheduling of device activation in water distribution systems to reduce the impact of a contamination event. Journal of Hydroinformatics, 14(2), 345-365. https://doi.org/10.2166/hydro.2011.147 

Alvisi S., Creaco E., Franchini M., 2011. Segment identification in water distribution systems. Urban Water Journal, 8(4), 203-217. https://doi.org/10.1080/1573062X.2011.595803 

Alvisi S., Franchini M., 2010. Pipe roughness calibration in water distribution systems using grey numbers. Journal of Hydroinformatics, 12(4), 424-445. https://doi.org/10.2166/hydro.2010.089 

Creaco E., Alvisi S., Franchini M., 2010. Optimal Placement of Isolation Valves in Water Distribution Systems Based on Valve Cost and Weighted Average Demand Shortfall. Water Resources Management, 24, 4317-4338. https://doi.org/10.1007/s11269-010-9661-5 

Franchini M., Alvisi S., 2010. Model for hydraulic networks with evenly distributed demands along pipes. Civil Engineering and Environmental Systems, 27(2), 133-153. https://doi.org/10.1080/10286600902781658 

Alvisi S., Franchini M., 2009. Multiobjective Optimization of Rehabilitation and Leakage Detection Scheduling in Water Distribution Systems. Journal of Water Resources Planning and Management, 133(6), 426-439. https://doi.org/10.1061/(ASCE)0733-9496(2009)135:6(426)  

Guidorzi M., Franchini M., Alvisi S., 2009. A multi-objective approach for detecting and responding to accidental and intentional contamination events in water distribution systems. Urban Water Journal, 6(2), 115-135. https://doi.org/10.1080/15730620802566836 

Martinez F., Hernandez V., Alonso J.M., Rao Z., Alvisi S., 2007. Optimizing the operation of the Valencia water-distribution network. Journal of Hydroinformatics, 9(1), 65-78. https://doi.org/10.2166/hydro.2006.018 

Salomons E., Goryashko A., Shamir U., Rao Z., Alvisi S., 2007. Optimizing the operation of the Haifa-A water-distribution network. Journal of Hydroinformatics, 9(1), 51-64. https://doi.org/10.2166/hydro.2006.017 

Alvisi S., Franchini M., 2006. Near-optimal rehabilitation scheduling of water distribution systems based on a multi-objective genetic algorithm. Civil Engineering and Environmental Systems, 23(3), 143-160. https://doi.org/10.1080/10286600600789300 

Lodi J., Micai V., Marsili V., Mazzoni F., Alvisi S., 2026. Non-residential water-consumption characterization and clustering: evidences from service-industry users in Northern Italy. Water Resources and Industry, 36, 100380. https://doi.org/10.1016/j.wri.2026.100380 

Mazzoni F., Marsili V., Blokker M., Alvisi S., 2026. Investigating the Characteristics of Residential Hot-Water Consumption: a Worldwide Review. Water Research, 126109. https://doi.org/10.1016/j.watres.2026.126109 

Mazzoni F., Marsili V., Giudicianni C., Creaco E., Alvisi S., 2026. District-level and User-level Approaches for the Characterization of Residential and Non-residential Minimum Night Consumption. Submitted to Applied Water Science

Giudicianni C., Mazzoni F., Marsili V., Alvisi S., Creaco E., 2025. Modelling minimum night consumption as a function of long run average outflow to users and applications to real world case studies. Frontiers in Water – Water and Built Environment, 7. https://www.frontiersin.org/journals/water/articles/10.3389/frwa.2025.1693893 

Mazzoni F., Marsili V., Alvisi S., 2025. Characterizing Hot-Water Consumption at Household and End-Use Levels Based on Smart-Meter Data. Water, 17(13), 1906. https://doi.org/10.3390/w17131906 

Alassio S., Marsili V., Mazzoni F., Alvisi S., Franchini M., 2024. Exploring residential minimum night consumption in a real water distribution network based on smart meters data. Discover Water (Springer Nature), 4, 88. https://doi.org/10.1007/s43832-024-00150-5 

Marsili V., Mazzoni F., Alvisi S., Franchini M., 2024. From pressure to water consumption: exploiting high-resolution pressure data to investigate the end uses of water. Water Resources Management, 38, 4969-4985. https://doi.org/10.1007/s11269-024-03898-6 

Mazzoni F., Blokker M., Alvisi S., Franchini M., 2024. An enhanced method for automated end-use classification of household water data. Journal of Hydroinformatics, 26 (2), 408–423. https://doi.org/10.2166/hydro.2024.125 

Mazzoni F., Alvisi S., Franchini M., Blokker M., 2023. Exploiting high-resolution data to investigate the characteristics of water consumption at the end-use level: A Dutch case study. Water Resources and Industry, 29, 100198. https://doi.org/10.1016/j.wri.2022.100198 

Mazzoni F. et al., 2023. Investigating the characteristics of residential end uses of water: A worldwide review. Water Research, 230, 119500. https://doi.org/10.1016/j.watres.2022.119500 

Mazzoni, F., Marsili V., Alvisi S., Franchini M., 2022. Exploring the impacts of tourism and weather on water consumption at different spatiotemporal scales: evidence from a coastal area on the Adriatic Sea (northern Italy). Environmental Research: Infrastructure and Sustainability, 2, 025005. https://doi.org/10.1088/2634-4505/ac611f 

Alvisi S., Franchini M., Luciani C., Marzola I., Mazzoni F., 2021. Effects of the COVID-19 Lockdown on Water Consumptions: Northern Italy Case Study. Journal of Water Resources Planning and Management, 147(11), 05021021. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001481 

Mazzoni F., Alvisi S., Franchini M., Ferraris M., Kapelan Z., 2021. Automated Household Water End-Use Disaggregation through Rule-Based Methodology. Journal of Water Resources Planning and Management, 147(6), 04021024. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001379 

Alvisi S., Ansaloni N., Franchini M., 2014. Generation of synthetic water demand time series at different temporal and spatial aggregation levels. Urban Water Journal, 11(4), 297-310. https://doi.org/10.1080/1573062X.2013.801499 

Ansaloni N., Alvisi S., Franchini M., 2013. Generation of synthetic cross-correlated water demand time series. Water Science and Technology: Water Supply, 13 (4), 977-986. https://doi.org/10.2166/ws.2013.048 

Franchini M., Alvisi S., 2012. Evaluating Water Demand Shortfalls in Segment Analysis. Water Resources Management, 26, 2301-2321. https://doi.org/10.1007/s11269-012-0018-0 

Alvisi S., Franchini M., Marinelli A., 2003. A stochastic model for representing drinking water demand at residential level. Water Resources Management, 17, 197-222. https://doi.org/10.1023/A:1024100518186 

Pacchin E., Gagliardi F., Alvisi S., Franchini M., 2019. A Comparison of Short-Term Water Demand Forecasting Models. Water Resources Management, 33, 1481–1497. https://doi.org/10.1007/s11269-019-02213-y 

Gagliardi F., Alvisi S., Franchini M., Guidorzi M., 2017. A comparison between pattern based and neural network short-term water demand forecasting models. Water Science and Technology: Water Supply, 17 (5), 1426-1435. https://doi.org/10.2166/ws.2017.045 

Gagliardi F., Alvisi S., Kapelan Z., Franchini M., 2017. A Probabilistic Short-Term Water Demand Forecasting Model Based on the Markov Chain. Water, 9(7), 507. https://doi.org/10.3390/w9070507 

Pacchin E., Alvisi S., Franchini M., 2017. A Short-Term Water Demand Forecasting Model Using a Moving Window on Previously Observed Data. Water, 9(3), 172. https://doi.org/10.3390/w9030172 

Marsili V., Falocci D., Capponi C., Mazzoni F., Alvisi S., Brunone B., Meniconi S., 2026. Role of water service lines in the propagation of user-induced transients: Laboratory investigation on a highly instrumented, full-scale replica. Measurement, 120358. https://doi.org/10.1016/j.measurement.2026.120358 

Marsili V., Alvisi S., Maietta F., Capponi C., Meniconi S., Brunone B., Franchini M., 2023. Extending the Application of Connectivity Metrics for Characterizing the Dynamic Behavior of Water Distribution Networks. Water Resources Research, 59(8), e2023WR035031. https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023WR035031 

Marsili V., Mazzoni F., Alvisi S., Maietta F., Capponi C., Meniconi S., Brunone B. and Franchini M., 2023. Investigation of pressure transients induced on a real water service line by user’s activity. AQUA – Water Infrastructure, Ecosystems and Society, 72 (12), 2331–2346. https://doi.org/10.2166/aqua.2023.276   

Meniconi S., Maietta F., Alvisi S., Capponi C., Marsili V., Franchini M., Brunone B., 2022. A quick survey of the most vulnerable areas of a water distribution network due to transients generated in a service line. A Lagrangian Model based on laboratory tests. Special Issue “Integrated management of water distribution systems” – Water, 14(17), 2741. https://doi.org/10.3390/w14172741   

Meniconi S., Maietta F., Alvisi S., Capponi C., Marsili V., Franchini M., Brunone B., 2022.  Consumption change-induced transients in a water distribution network: laboratory tests in a looped system. Water Resources Research, 58(10), 1-15. https://doi.org/10.1029/2021WR031343    

Marsili V., Meniconi S., Alvisi S., Brunone B.,Franchini M., 2022. Stochastic approach for the analysis of demand induced transients in real water distribution systems. Journal of Water Resources Planning and Management, 148(1), 04021093. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001498      

Marsili V., Meniconi S., Alvisi S., Brunone B., Franchini M., 2021. Experimental analysis of the water consumption effect on the dynamic behaviour of a real pipe network. Journal of Hydraulic Research, 59(3), 477-487. https://doi.org/10.1080/00221686.2020.1780506 

Marsili V., Zarbo R., Alvisi S., Franchini M., 2020. Laboratory Analysis of a Piston-Actuated Pressure-Reducing Valve under Low Flow Conditions. Water, 12(4), 940. https://doi.org/10.3390/w12040940 

Mazzoni, F., Marsili V., Alvisi S., Franchini M., 2024. Detection and pre-localization of anomalous consumption events in water distribution networks through automated, pressure-based methodology. Water Resources and Industry, 31, 100255. https://doi.org/10.1016/j.wri.2024.100255 

Santoni A., Marzola I., Alvisi S., Franchini M., Fausti P., Stefanelli C., 2023. Influence of noise masking on leak pinpointing: Experimental analysis on a laboratory test rig for leak noise correlation. Applied Acoustics, 214, 109710. https://doi.org/10.1016/j.apacoust.2023.109710 

Marzola I., Mazzoni F., Alvisi S., Franchini M., 2022. Leakage Detection and Localization in a Water Distribution Network through Comparison of Observed and Simulated Pressure Data. Journal of Water Resources Planning and Management, 148(1), 04021096. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001503 

Marzola I., Alvisi S., Franchini M., 2021. Analysis of MNF and FAVAD Model for Leakage Characterization by Exploiting Smart-Metered Data: The Case of the Gorino Ferrarese (FE-Italy) District. Water, 13(5), 643. https://doi.org/10.3390/w13050643 

Zese R., Bellodi E., Luciani C., Alvisi S., 2021. Neural Network Techniques for Detecting Intra-Domestic Water Leaks of Different Magnitude. IEEE Access, 9, 126135-126147.  https://ieeexplore.ieee.org/document/9530653 

Alvisi S., Franchini M., 2010. Comparative analysis of two probabilistic pipe breakage models applied to a real water distribution system. Civil Engineering and Environmental Systems, 27(1), 1-22. https://doi.org/10.1080/10286600802224064 

Alvisi S., Franchini M., Marsili V., Mazzoni F., Salomons E. et al., 2025. The Battle of Water-Demand Forecasting (BWDF). Journal of Water Resources Planning and Management, 151(10), 04025049.  https://doi.org/10.1061/JWRMD5.WRENG-6887 

Marsili V., Mazzoni F. Marzola I., Alvisi S., Franchini M., 2023. Rehabiliting Intermittent Water Supply Systems Through A Multi-Objective Optimization Method Based On Hydraulic Simulations. Journal of Water Resources Planning and Management, 149(9), 04023048. https://ascelibrary.org/doi/full/10.1061/JWRMD5.WRENG-6116   

Marchi A. et al., 2014. Battle of the Water Networks II. Journal of Water Resources Planning and Management, 140(7), 04014009. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000378 

Ostfeld A. et al., 2012. Battle of the Water Calibration Networks. Journal of Water Resources Planning and Management, 138(5), 523-532. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000191 

Manservigi L., Marsili V., Mazzoni F., Castorino G.A.M., Losi E., Alvisi S., Bonfé M., Franchini M., Spina P.R., Venturini M., 2025. Hydraulic and electrical regulation of pumps as turbines for energy recovery in water distribution networks: energy recovery and economic analysis. Cambridge Prisms: Water, 3(e7), 1-10. https://doi.org/10.1017/wat.2025.10004   

Simani S., Alvisi S., Venturini M., 2019. Data-Driven Control Techniques for Renewable Energy Conversion Systems: Wind Turbine and Hydroelectric Plants. Electronics, 8(2), 237. https://doi.org/10.3390/electronics8020237 

Venturini M., Alvisi S., Simani S., Manservigi L., 2018. Comparison of Different Approaches to Predict the Performance of Pumps As Turbines (PATs). Energies, 11(4), 1016. https://doi.org/10.3390/en11041016 

Venturini M., Alvisi S., Simani S., Manservigi L., 2017. Energy Production by Means of Pumps As Turbines in Water Distribution Networks. Energies, 10(10), 1666. https://doi.org/10.3390/en10101666 

Alvisi S., Barbetta S., Franchini M., Melone F., Moramarco T., 2014. Comparing grey formulations of the velocity-area method and entropy method for discharge estimation with uncertainty. Journal of Hydroinformatics, 16 (4), 797-811. https://doi.org/10.2166/hydro.2013.160 

Farina G., Alvisi S., Franchini M., Moramarco T., 2014. Three Methods for Estimating the Entropy Parameter M Based on a Decreasing Number of Velocity Measurements in a River Cross-Section. Entropy, 16(5), 2512-2529. https://doi.org/10.3390/e16052512 

Alvisi S., Bernini A., Franchini M., 2013. A conceptual grey rainfall-runoff model for simulation with uncertainty. Journal of Hydroinformatics, 15 (1), 1-20. https://doi.org/10.2166/hydro.2012.069 

Alvisi S., Franchini M., 2013. A grey-based method for evaluating the effects of rating curve uncertainty on frequency analysis of annual maxima. Journal of Hydroinformatics, 15 (1), 194-210. https://doi.org/10.2166/hydro.2012.127 

Alvisi S., Creaco E., Franchini M., 2012. Crisp discharge forecasts and grey uncertainty bands using data-driven models. Hydrology Research, 43 (5), 589-602. https://doi.org/10.2166/nh.2012.121 

Alvisi S., Franchini M., 2012. Grey neural networks for river stage forecasting with uncertainty. Physics and Chemistry of the Earth, 42-44, 108-118. https://doi.org/10.1016/j.pce.2011.04.002 

Alvisi S., Franchini M., 2011. Fuzzy neural networks for water level and discharge forecasting with uncertainty. Environmental Modelling and Software, 26(4), 523-537. https://doi.org/10.1016/j.envsoft.2010.10.016 

Alvisi S., Mascellani G., Franchini M., Bardossy A., 2006. Water level forecasting through fuzzy logic and artificial neural network approaches. Hydrology and Earth System Sciences, 10(1), 1-17. https://doi.org/10.5194/hess-10-1-2006