Bruno Melo Brentan

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Joaquín IzquierdoEmeritus Professor, Universitat Politècnica de ValènciaE-mail confirmado em upv.es
Edevar Luvizotto Jr.UnicampE-mail confirmado em fec.unicamp.br
Gustavo MeirellesUniversidade Federal de Minas GeraisE-mail confirmado em ehr.ufmg.br
Manuel HerreraNewcastle UniversityE-mail confirmado em newcastle.ac.uk
Ariele ZanfeiResearcherE-mail confirmado em aiaqua.tech
Andrea MenapaceEurac ResearchE-mail confirmado em eurac.edu
Daniel Bezerra BarrosPhd student, SMARH, Federal University of Minas GeraisE-mail confirmado em ufmg.br
Silvia CarpitellaCalifornia State University, NorthridgeE-mail confirmado em csun.edu
Idel MontalvoIngeniousWare GmbHE-mail confirmado em ingeniousware.net
maurizio righettiUniversity of Bozen-BolzanoE-mail confirmado em unibz.it
Rui Gabriel SouzaAssistant Professor, Civil Engineering Department of PUC MinasE-mail confirmado em pucminas.br
Lubienska C L J RibeiroProfessora da Ft - UNICAMPE-mail confirmado em ft.unicamp.br
Helena M. RamosProfessor, Instituto Superior Técnico (IST),University of Lisbon, CERISE-mail confirmado em civil.ist.utl.pt
Carlos Alexis Bonilla GranadosUniversidad de PamplonaE-mail confirmado em unipamplona.edu.co
Dídia CovasFull Professor, CERIS, Instituto Superior Técnico, Universidade de LisboaE-mail confirmado em tecnico.ulisboa.pt
Dr David Ayala-CabreraUniversity College Dublin - School of Civil Engineering - (Ad Astra Fellow) Assistant ProfE-mail confirmado em ucd.ie
Laura MonteiroResearcher, Instituto Superior TécnicoE-mail confirmado em tecnico.ulisboa.pt
Robert SitzenfreiProfessor of Urban Water Management, Universität InnsbruckE-mail confirmado em uibk.ac.at
Jorge Frances ChustFluing-IMMUniversidad Politécnica de Valencia.SpainE-mail confirmado em abxat.com
Renato Miazaki de ToledoPesquisador, Universidade de São PauloE-mail confirmado em usp.br

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Bruno Melo Brentan

Assistant Professor, EHR, Federal University of Minas Gerais

E-mail confirmado em ehr.ufmg.br

Hydraulics Optimization Machine Learning Water Supply Systems


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Hybrid regression model for near real-time urban water demand forecasting BM Brentan, E Luvizotto Jr, M Herrera, J Izquierdo, R Pérez-García Journal of Computational and Applied Mathematics 309, 532-541, 2017	237	2017
Battle of the attack detection algorithms: Disclosing cyber attacks on water distribution networks R Taormina, S Galelli, NO Tippenhauer, E Salomons, A Ostfeld, ... Journal of Water Resources Planning and Management 144 (8), 04018048, 2018	228	2018
Selection and location of Pumps as Turbines substituting pressure reducing valves GM Lima, EL Junior, BM Brentan Renewable Energy 109, 392-405, 2017	97	2017
Hybrid SOM+ k-Means clustering to improve planning, operation and management in water distribution systems B Brentan, G Meirelles, E Luvizotto Jr, J Izquierdo Environmental modelling & software 106, 77-88, 2018	61	2018
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	56	2022
Optimal design of water supply networks using an energy recovery approach GM Lima, BM Brentan, E Luvizotto Jr Renewable Energy 117, 404-413, 2018	52	2018
Social network community detection for DMA creation: Criteria analysis through multilevel optimization BM Brentan, E Campbell, GL Meirelles, E Luvizotto Jr, J Izquierdo Mathematical Problems in Engineering 2017 (1), 9053238, 2017	52	2017
Calibration model for water distribution network using pressures estimated by artificial neural networks G Meirelles, D Manzi, B Brentan, T Goulart, E Luvizotto Water Resources Management 31, 4339-4351, 2017	51	2017
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	47	2022
Joint operation of pressure-reducing valves and pumps for improving the efficiency of water distribution systems B Brentan, G Meirelles, E Luvizotto Jr, J Izquierdo Journal of Water Resources Planning and Management 144 (9), 04018055, 2018	47	2018
Leakage control and energy recovery using variable speed pumps as turbines GM Lima, E Luvizotto Jr, BM Brentan, HM Ramos Journal of Water Resources Planning and Management 144 (1), 04017077, 2018	45	2018
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	43	2024
Correlation analysis of water demand and predictive variables for short-term forecasting models BM Brentan, G Meirelles, M Herrera, E Luvizotto, J Izquierdo Mathematical Problems in Engineering 2017, 2017	42	2017
Water quality sensor placement: A multi-objective and multi-criteria approach B Brentan, S Carpitella, D Barros, G Meirelles, A Certa, J Izquierdo Water Resources Management 35, 225-241, 2021	41	2021
Social network community detection and hybrid optimization for dividing water supply into district metered areas BM Brentan, E Campbell, T Goulart, D Manzi, G Meirelles, M Herrera, ... Journal of Water Resources Planning and Management 144 (5), 04018020, 2018	40	2018
A digital twin of a water distribution system by using graph convolutional networks for pump speed-based state estimation CA Bonilla, A Zanfei, B Brentan, I Montalvo, J Izquierdo Water 14 (4), 514, 2022	36	2022
Committee machines for hourly water demand forecasting in water supply systems JK Ambrosio, BM Brentan, M Herrera, E Luvizotto Jr, L Ribeiro, ... Mathematical Problems in Engineering 2019 (1), 9765468, 2019	35	2019
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	33	2022
District metered area design through multicriteria and multiobjective optimization BM Brentan, S Carpitella, J Izquierdo, E Luvizotto Jr, G Meirelles Mathematical methods in the applied sciences 45 (6), 3254-3271, 2022	33	2022
Optimal placement of pressure sensors using fuzzy DEMATEL-based sensor influence J Francés-Chust, BM Brentan, S Carpitella, J Izquierdo, I Montalvo Water 12 (2), 493, 2020	32	2020

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