Search Results - "Zanfei, Ariele"

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  1. 1

    A short-term water demand forecasting model using multivariate long short-term memory with meteorological data by Zanfei, Ariele, Brentan, Bruno Melo, Menapace, Andrea, Righetti, Maurizio

    Published in Journal of hydroinformatics (01-09-2022)
    “…Abstract Sustainable management of water resources is a key challenge nowadays and in the future. Water distribution systems have to ensure fresh water for all…”
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    Journal Article
  2. 2

    Graph Neural Networks for Sensor Placement: A Proof of Concept towards a Digital Twin of Water Distribution Systems by Menapace, Andrea, Zanfei, Ariele, Herrera, Manuel, Brentan, Bruno

    Published in Water (Basel) (01-07-2024)
    “…Urban water management faces new challenges due to the rise of digital solutions and abundant data, leading to the development of data-centric tools for…”
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    Journal Article
  3. 3

    Tuning ANN Hyperparameters for Forecasting Drinking Water Demand by Menapace, Andrea, Zanfei, Ariele, Righetti, Maurizio

    Published in Applied sciences (01-05-2021)
    “…The evolution of smart water grids leads to new Big Data challenges boosting the development and application of Machine Learning techniques to support…”
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    Journal Article
  4. 4

    AI-Forecast: an innovative and practical tool for short-term water demand forecasting by Zanfei, Ariele, Lombardi, Andrea, De Luca, Alberto, Menapace, Andrea

    Published in Water science & technology. Water supply (01-04-2024)
    “…ABSTRACT Water management is a major contemporary and future challenge. In an increasing water demand scenario related to climate change, a water distribution…”
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    Journal Article
  5. 5

    Calibration Procedure for Water Distribution Systems: Comparison among Hydraulic Models by Zanfei, Ariele, Menapace, Andrea, Santopietro, Simone, Righetti, Maurizio

    Published in Water (Basel) (01-05-2020)
    “…Proper hydraulic simulation models, which are fundamental to analyse a water distribution system, require a calibration procedure. This paper proposes a…”
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    Journal Article
  6. 6

    A Digital Twin of a Water Distribution System by Using Graph Convolutional Networks for Pump Speed-Based State Estimation by Bonilla, Carlos A., Zanfei, Ariele, Brentan, Bruno, Montalvo, Idel, Izquierdo, Joaquín

    Published in Water (Basel) (01-02-2022)
    “…Water distribution system monitoring is currently carried out using advanced real-time control technologies to achieve a higher operational efficiency. Data…”
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    Journal Article
  7. 7

    Burst Detection in Water Distribution Systems: The Issue of Dataset Collection by Menapace, Andrea, Zanfei, Ariele, Felicetti, Manuel, Avesani, Diego, Righetti, Maurizio, Gargano, Rudy

    Published in Applied sciences (01-11-2020)
    “…Developing data-driven models for bursts detection is currently a demanding challenge for efficient and sustainable management of water supply systems. The…”
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    Journal Article
  8. 8

    Assessment of ERA5-Land Data in Medium-Term Drinking Water Demand Modelling with Deep Learning by Dhawan, Pranav, Dalla Torre, Daniele, Zanfei, Ariele, Menapace, Andrea, Larcher, Michele, Righetti, Maurizio

    Published in Water (Basel) (01-04-2023)
    “…Drinking water demand modelling and forecasting is a crucial task for sustainable management and planning of water supply systems. Despite many short-term…”
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    Journal Article
  9. 9

    An Investigation on the Effect of Leakages on the Water Quality Parameters in Distribution Networks by Barros, Daniel, Almeida, Isabela, Zanfei, Ariele, Meirelles, Gustavo, Luvizotto, Edevar, Brentan, Bruno

    Published in Water (Basel) (01-01-2023)
    “…Leakages in distribution networks reach more than 30% of the water supplied, entailing important risks for the water infrastructure with water contamination…”
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    Journal Article
  10. 10

    Optimal Selection and Monitoring of Nodes Aimed at Supporting Leakages Identification in WDS by Righetti, Maurizio, Bort, Carlos, Bottazzi, Michele, Menapace, Andrea, Zanfei, Ariele

    Published in Water (Basel) (26-03-2019)
    “…Many efforts have been made in recent decades to formulate strategies for improving the efficiency of water distribution systems (WDS), led by the…”
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    Journal Article
  11. 11

    Graph Convolutional Recurrent Neural Networks for Water Demand Forecasting by Zanfei, Ariele, Brentan, Bruno M., Menapace, Andrea, Righetti, Maurizio, Herrera, Manuel

    Published in Water resources research (01-07-2022)
    “…Short‐term forecasting of water demand is a crucial process for managing efficiently water supply systems. This paper proposes to develop a novel graph…”
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    Journal Article
  12. 12

    Short-term hydropower optimization driven by innovative time-adapting econometric model by Avesani, Diego, Zanfei, Ariele, Di Marco, Nicola, Galletti, Andrea, Ravazzolo, Francesco, Righetti, Maurizio, Majone, Bruno

    Published in Applied energy (15-03-2022)
    “…The ongoing transformation of the electricity market has reshaped the hydropower production paradigm for storage reservoir systems, with a shift from…”
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    Journal Article
  13. 13

    Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment by Zanfei, Ariele, Menapace, Andrea, Brentan, Bruno M., Sitzenfrei, Robert, Herrera, Manuel

    Published in Water research (Oxford) (15-08-2023)
    “…Representing reality in a numerical model is complex. Conventionally, hydraulic models of water distribution networks are a tool for replicating water supply…”
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    Journal Article
  14. 14

    Micro hydro power generation in water distribution networks through the optimal pumps-as-turbines sizing and control by Kostner, Michael K., Zanfei, Ariele, Alberizzi, Jacopo C., Renzi, Massimiliano, Righetti, Maurizio, Menapace, Andrea

    Published in Applied energy (01-12-2023)
    “…Sustainable use of water and energy sources is a crucial challenge for smart and resilient urban water infrastructure. At this aim, this study presents a…”
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    Journal Article
  15. 15

    An Ensemble Neural Network Model to Forecast Drinking Water Consumption by Zanfei, Ariele, Menapace, Andrea, Granata, Francesco, Gargano, Rudy, Frisinghelli, Matteo, Righetti, Maurizio

    “…AbstractA reliable short-term forecasting model is fundamental to managing a water distribution system properly. This study addresses the problem of the…”
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    Journal Article
  16. 16

    Optimal Rehabilitation Procedure for Intermittent Water Supply Systems by Brentan, Bruno, Zanfei, Ariele, Souza, Rui Gabriel, Menapace, Andrea, Meirelles, Gustavo, Izquierdo, Joaquín

    “…AbstractWater demand continuously increases in urban zones, and water scarcity is frequently associated with a lack or a reduction of water availability at…”
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  17. 17

    Optimizing pump operations in water distribution networks: Balancing energy efficiency, water quality and operational constraints by Brentan, Bruno, Mota, Filipe, Menapace, Andrea, Zanfei, Ariele, Meirelles, Gustavo

    Published in Journal of water process engineering (01-06-2024)
    “…Optimizing pump operation in urban water distribution systems represents a critical task for enhancing energy efficiency. Despite extensive research, achieving…”
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    Journal Article
  18. 18

    How Does Missing Data Imputation Affect the Forecasting of Urban Water Demand? by Zanfei, Ariele, Menapace, Andrea, Brentan, Bruno Melo, Righetti, Maurizio

    “…AbstractNowadays, drinking water demand forecasting has become fundamental to efficiently manage water distribution systems. With the growth of accessible data…”
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    Journal Article
  19. 19

    Assessing downscaling techniques for frequency analysis, total precipitation and rainy day estimation in CMIP6 simulations over hydrological years by Jimenez, David A, Menapace, Andrea, Zanfei, Ariele, Pinto, Eber José de Andrade, Brentan, Bruno

    Published in Hydrology and earth system sciences (07-05-2024)
    “…General circulation models generate climate simulations on grids with resolutions ranging from 50 to 600 km. The resulting coarse spatial resolution of the…”
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  20. 20

    Exploring the feasibility of Support Vector Machine for short-term hydrological forecasting in South Tyrol: challenges and prospects by Dalla Torre, Daniele, Lombardi, Andrea, Menapace, Andrea, Zanfei, Ariele, Righetti, Maurizio

    Published in SN applied sciences (22-03-2024)
    “…Short-term hydrological forecasting is crucial for suitable multipurpose water resource management involving water uses, hydrological security, and renewable…”
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