Suchergebnisse - "Cominola, Andrea"
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Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects
ISSN: 0022-1694, 1879-2707Veröffentlicht: Elsevier B.V 01.09.2020Veröffentlicht 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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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
ISSN: 1748-9326, 1748-9326Veröffentlicht: Bristol IOP Publishing 01.09.2023Veröffentlicht 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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Long-term water conservation is fostered by smart meter-based feedback and digital user engagement
ISSN: 2059-7037, 2059-7037Veröffentlicht: London Nature Publishing Group UK 07.05.2021Veröffentlicht 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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Short‐Term Memory and Regional Climate Drive City‐Scale Water Demand in the Contiguous US
ISSN: 2328-4277, 2328-4277Veröffentlicht: Bognor Regis John Wiley & Sons, Inc 01.01.2025Veröffentlicht 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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Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand
ISSN: 2634-4505, 2634-4505Veröffentlicht: IOP Publishing 01.09.2024Veröffentlicht in Environmental research, infrastructure and sustainability : ERIS (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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Unlocking the Impacts of COVID-19 Lockdowns: Changes in Thermal Electricity Generation Water Footprint and Virtual Water Trade in Europe
ISSN: 2328-8930, 2328-8930Veröffentlicht: United States 08.09.2020Veröffentlicht 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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A survey of water utilities’ digital transformation: drivers, impacts, and enabling technologies
ISSN: 2059-7037, 2059-7037Veröffentlicht: London Nature Publishing Group UK 07.07.2023Veröffentlicht 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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Interpretable Machine Learning Reveals Potential to Overcome Reactive Flood Adaptation in the Continental US
ISSN: 2328-4277, 2328-4277Veröffentlicht: Bognor Regis John Wiley & Sons, Inc 01.09.2023Veröffentlicht 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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Multicriteria Optimization Model to Generate on‐DEM Optimal Channel Networks
ISSN: 0043-1397, 1944-7973Veröffentlicht: Washington John Wiley & Sons, Inc 01.08.2018Veröffentlicht 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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CaRDS - the statewide California Residential water Demand and Supply open dataset
ISSN: 2052-4463, 2052-4463Veröffentlicht: London Nature Publishing Group UK 14.06.2024Veröffentlicht 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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Physics-Informed Machine Learning for Universal Surrogate Modelling of Water Quality Parameters in Water Distribution Networks
ISSN: 2673-4591Veröffentlicht: MDPI AG 01.10.2024Veröffentlicht 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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Understanding resource consumption and sustainability in the built environment
ISSN: 2634-4505, 2634-4505Veröffentlicht: IOP Publishing 01.09.2023Veröffentlicht in Environmental research, infrastructure and sustainability : ERIS (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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iOLE—Human-Centered Software Design for Leakage Detection in Water Distribution Networks
ISSN: 2673-4591Veröffentlicht: MDPI AG 01.11.2024Veröffentlicht 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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Residential End Uses of Water: Global Evidence
ISSN: 2673-4591Veröffentlicht: MDPI AG 01.09.2024Veröffentlicht 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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Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets
ISSN: 2073-4441, 2073-4441Veröffentlicht: Basel MDPI AG 01.01.2021Veröffentlicht 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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A Machine Learning-based framework and open-source software for Non Intrusive Water Monitoring
ISSN: 1364-8152Veröffentlicht: Elsevier Ltd 01.01.2025Veröffentlicht in Environmental modelling & software : with environment data news (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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Model Predictive Control of water resources systems: A review and research agenda
ISSN: 1367-5788Veröffentlicht: Elsevier Ltd 2023Veröffentlicht 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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Sparse Optimization for Automated Energy End Use Disaggregation
ISSN: 1063-6536, 1558-0865Veröffentlicht: New York IEEE 01.05.2016Veröffentlicht 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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Investigating the characteristics of residential end uses of water: A worldwide review
ISSN: 0043-1354, 1879-2448, 1879-2448Veröffentlicht: England Elsevier Ltd 15.02.2023Veröffentlicht 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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Sensitivity of model-based leakage localisation in water distribution networks to water demand sampling rates and spatio-temporal data gaps
ISSN: 1464-7141, 1465-1734Veröffentlicht: London IWA Publishing 01.08.2024Veröffentlicht 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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