Spremljaj
Bruno Melo Brentan
Bruno Melo Brentan
Assistant Professor, EHR, Federal University of Minas Gerais
Preverjeni e-poštni naslov na ehr.ufmg.br
Naslov
Navedeno
Navedeno
Leto
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
2432017
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
2382018
Selection and location of Pumps as Turbines substituting pressure reducing valves
GM Lima, EL Junior, BM Brentan
Renewable Energy 109, 392-405, 2017
952017
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
632018
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
622022
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 174, 105971, 2024
572024
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
552017
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
532017
Optimal design of water supply networks using an energy recovery approach
GM Lima, BM Brentan, E Luvizotto Jr
Renewable Energy 117, 404-413, 2018
512018
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
502022
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
492018
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
452018
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
422021
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
422017
Social network community detection and hybrid optimization for dividing water supply into district metered areas
B Brentan, E Campbell, T Goulart, D Manzi, G Meirelles, M Herrera, ...
Journal of Water Resources Planning and Management 144 (5), 04018020, 2018
402018
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
392022
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
362022
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
362019
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
332022
Optimal placement of pressure sensors using fuzzy DEMATEL-based sensor influence
J Frances-Chust, BM Brentan, S Carpitella, J Izquierdo, I Montalvo
Water 12 (2), 493, 2020
332020
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