Suchergebnisse - "Cominola, Andrea"

  1. 1

    Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects von Zounemat-Kermani, Mohammad, Matta, Elena, Cominola, Andrea, Xia, Xilin, Zhang, Qing, Liang, Qiuhua, Hinkelmann, Reinhard

    ISSN: 0022-1694, 1879-2707
    Veröffentlicht: Elsevier B.V 01.09.2020
    Veröffentlicht in Journal of hydrology (Amsterdam) (01.09.2020)
    “… •Review of neurocomputing methods in surface water hydrology and hydraulic sciences.•Detailed analysis on six relevant topics in surface water hydrology and …”
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  2. 2

    Fast in the pandemic, durable after droughts, inequal during economic downturn. A 20 year multi-dimensional retrospective analysis of water demand change in Southern California von Gross, Marie-Philine, Ajami, Newsha K, Cominola, Andrea

    ISSN: 1748-9326, 1748-9326
    Veröffentlicht: Bristol IOP Publishing 01.09.2023
    Veröffentlicht in Environmental research letters (01.09.2023)
    “… Determining changes in water consumption behavior due to recurring external stressors (e.g. droughts and socio-economic fluctuations) and previously unseen …”
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  3. 3

    Long-term water conservation is fostered by smart meter-based feedback and digital user engagement von Cominola, Andrea, Giuliani, Matteo, Castelletti, Andrea, Fraternali, Piero, Gonzalez, Sergio Luis Herrera, Herrero, Joan Carles Guardiola, Novak, Jasminko, Rizzoli, Andrea Emilio

    ISSN: 2059-7037, 2059-7037
    Veröffentlicht: London Nature Publishing Group UK 07.05.2021
    Veröffentlicht in npj clean water (07.05.2021)
    “… Consumption-based feedback has been demonstrated to encourage water conservation behaviors. Smart meters and digital solutions can support customized feedback …”
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  4. 4

    Short‐Term Memory and Regional Climate Drive City‐Scale Water Demand in the Contiguous US von Hao, Wenjin, Cominola, Andrea, Castelletti, Andrea

    ISSN: 2328-4277, 2328-4277
    Veröffentlicht: Bognor Regis John Wiley & Sons, Inc 01.01.2025
    Veröffentlicht in Earth's future (01.01.2025)
    “… Gaining insights into current and future urban water demand patterns and their determinants is paramount for water utilities and policymakers to formulate …”
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  5. 5

    Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand von Hao, Wenjin, Cominola, Andrea, Castelletti, Andrea

    ISSN: 2634-4505, 2634-4505
    Veröffentlicht: IOP Publishing 01.09.2024
    “… Urban water demand (UWD) forecasting is essential for water supply network optimization and management, both in business-as-usual scenarios, as well as under …”
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  6. 6

    Unlocking the Impacts of COVID-19 Lockdowns: Changes in Thermal Electricity Generation Water Footprint and Virtual Water Trade in Europe von Roidt, Mario, Chini, Christopher M, Stillwell, Ashlynn S, Cominola, Andrea

    ISSN: 2328-8930, 2328-8930
    Veröffentlicht: United States 08.09.2020
    Veröffentlicht in Environmental science & technology letters (08.09.2020)
    “… Drastic changes in electricity demand have been observed since March 2020 in Europe, after several countries implemented lockdown-like measures to contain the …”
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  7. 7

    A survey of water utilities’ digital transformation: drivers, impacts, and enabling technologies von Daniel, Ivo, Ajami, Newsha K., Castelletti, Andrea, Savic, Dragan, Stewart, Rodney A., Cominola, Andrea

    ISSN: 2059-7037, 2059-7037
    Veröffentlicht: London Nature Publishing Group UK 07.07.2023
    Veröffentlicht in npj clean water (07.07.2023)
    “… Climate change and urbanization challenge utilities’ pursuit of water security worldwide. While water utilities are directly impacted by climate change, their …”
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  8. 8

    Interpretable Machine Learning Reveals Potential to Overcome Reactive Flood Adaptation in the Continental US von Veigel, Nadja, Kreibich, Heidi, Cominola, Andrea

    ISSN: 2328-4277, 2328-4277
    Veröffentlicht: Bognor Regis John Wiley & Sons, Inc 01.09.2023
    Veröffentlicht in Earth's future (01.09.2023)
    “… Floods cause average annual losses of more than US$30 billion in the US and are estimated to significantly increase due to global change. Flood resilience, …”
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  9. 9

    Multicriteria Optimization Model to Generate on‐DEM Optimal Channel Networks von Bizzi, Simone, Cominola, Andrea, Mason, Emanuele, Castelletti, Andrea, Paik, Kyungrock

    ISSN: 0043-1397, 1944-7973
    Veröffentlicht: Washington John Wiley & Sons, Inc 01.08.2018
    Veröffentlicht in Water resources research (01.08.2018)
    “… The theory of optimal channel networks (OCNs) explains the existence of self‐similarities in river networks by multiple optimality principles, namely, (i) the …”
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  10. 10

    CaRDS - the statewide California Residential water Demand and Supply open dataset von Gross, Marie-Philine, Escriva-Bou, Alvar, Porse, Erik, Cominola, Andrea

    ISSN: 2052-4463, 2052-4463
    Veröffentlicht: London Nature Publishing Group UK 14.06.2024
    Veröffentlicht in Scientific data (14.06.2024)
    “… As water scarcity becomes the new norm in the Western United States, states such as California have increased their efforts to improve water resilience …”
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  11. 11

    Physics-Informed Machine Learning for Universal Surrogate Modelling of Water Quality Parameters in Water Distribution Networks von Ivo Daniel, Gopinathan R. Abhijith, J. Nathan Kutz, Avi Ostfeld, Andrea Cominola

    ISSN: 2673-4591
    Veröffentlicht: MDPI AG 01.10.2024
    Veröffentlicht in Engineering proceedings (01.10.2024)
    “… Modelling and assessing water quality parameters in water distribution networks is essential for providing safe drinking water to end users. While …”
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  12. 12

    Understanding resource consumption and sustainability in the built environment von Stillwell, Ashlynn S, Cominola, Andrea, Beal, C D

    ISSN: 2634-4505, 2634-4505
    Veröffentlicht: IOP Publishing 01.09.2023
    “… The built environment and the communities that contribute to its infrastructure, services, and systems are important aspects of human life. As urbanization …”
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  13. 13

    iOLE—Human-Centered Software Design for Leakage Detection in Water Distribution Networks von Ivo Daniel, David Steffelbauer, Ella Steins, Jonas Schorr, Sophie Persigehl, Enrique Campbell, Johannes Koslowski, Jens Kley-Holsteg, Bernd Lindemann, Andrea Cominola

    ISSN: 2673-4591
    Veröffentlicht: MDPI AG 01.11.2024
    Veröffentlicht in Engineering proceedings (01.11.2024)
    “… Leakages in water distribution networks still pose major challenges to water utilities. Despite numerous technological advances, the adoption of digital …”
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  14. 14

    Residential End Uses of Water: Global Evidence von Filippo Mazzoni, Stefano Alvisi, Mirjam Blokker, Steven Buchberger, Andrea Castelletti, Andrea Cominola, Marie-Philine Gross, Heinz E. Jacobs, Peter Mayer, David B. Steffelbauer, Rodney A. Stewart, Ashlynn S. Stillwell, Velitchko Tzatchkov, Victor-Hugo Alcocer Yamanaka, Marco Franchini

    ISSN: 2673-4591
    Veröffentlicht: MDPI AG 01.09.2024
    Veröffentlicht in Engineering proceedings (01.09.2024)
    “… Understanding the residential end uses of water is helpful for the sustainable management of water resources and the implementation of water conservation …”
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  15. 15

    Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets von Di Mauro, Anna, Cominola, Andrea, Castelletti, Andrea, Di Nardo, Armando

    ISSN: 2073-4441, 2073-4441
    Veröffentlicht: Basel MDPI AG 01.01.2021
    Veröffentlicht in Water (Basel) (01.01.2021)
    “… Over the last three decades, the increasing development of smart water meter trials and the rise of demand management has fostered the collection of water …”
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  16. 16

    A Machine Learning-based framework and open-source software for Non Intrusive Water Monitoring von Gross, Marie-Philine, Taormina, Riccardo, Cominola, Andrea

    ISSN: 1364-8152
    Veröffentlicht: Elsevier Ltd 01.01.2025
    “… Recent research highlights the potential of consumption-based feedback for water conservation, emphasizing the need for Non Intrusive Water Monitoring (NIWM) …”
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  17. 17

    Model Predictive Control of water resources systems: A review and research agenda von Castelletti, Andrea, Ficchì, Andrea, Cominola, Andrea, Segovia, Pablo, Giuliani, Matteo, Wu, Wenyan, Lucia, Sergio, Ocampo-Martinez, Carlos, De Schutter, Bart, Maestre, José María

    ISSN: 1367-5788
    Veröffentlicht: Elsevier Ltd 2023
    Veröffentlicht in Annual reviews in control (2023)
    “… Model Predictive Control (MPC) has recently gained increasing interest in the adaptive management of water resources systems due to its capability of …”
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  18. 18

    Sparse Optimization for Automated Energy End Use Disaggregation von Piga, Dario, Cominola, Andrea, Giuliani, Matteo, Castelletti, Andrea, Rizzoli, Andrea Emilio

    ISSN: 1063-6536, 1558-0865
    Veröffentlicht: New York IEEE 01.05.2016
    Veröffentlicht in IEEE transactions on control systems technology (01.05.2016)
    “… Retrieving the household electricity consumption at individual appliance level is an essential requirement to assess the contribution of different end uses to …”
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  19. 19

    Investigating the characteristics of residential end uses of water: A worldwide review von Mazzoni, Filippo, Alvisi, Stefano, Blokker, Mirjam, Buchberger, Steven G., Castelletti, Andrea, Cominola, Andrea, Gross, Marie-Philine, Jacobs, Heinz E., Mayer, Peter, Steffelbauer, David B., Stewart, Rodney A., Stillwell, Ashlynn S., Tzatchkov, Velitchko, Yamanaka, Victor-Hugo Alcocer, Franchini, Marco

    ISSN: 0043-1354, 1879-2448, 1879-2448
    Veröffentlicht: England Elsevier Ltd 15.02.2023
    Veröffentlicht in Water research (Oxford) (15.02.2023)
    “… •We systematically review 114 studies on the residential end uses of water.•We develop a multi-level analysis to compare the outcomes available in the …”
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  20. 20

    Sensitivity of model-based leakage localisation in water distribution networks to water demand sampling rates and spatio-temporal data gaps von Oberascher, Martin, Maussner, Claudia, Cominola, Andrea, Sitzenfrei, Robert

    ISSN: 1464-7141, 1465-1734
    Veröffentlicht: London IWA Publishing 01.08.2024
    Veröffentlicht in Journal of hydroinformatics (01.08.2024)
    “… Model-based leakage localisation in water distribution networks requires accurate estimates of nodal demands to correctly simulate hydraulic conditions. While …”
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