A5039652267- Water Systems and Optimization
- Water resources management and optimization
- Water Quality Monitoring Technologies
- Cavitation Phenomena in Pumps
- Water Treatment and Disinfection
- Water-Energy-Food Nexus Studies
- Network Security and Intrusion Detection
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Hydraulic and Pneumatic Systems
- Smart Grid Security and Resilience
- Urban Stormwater Management Solutions
- Hydrological Forecasting Using AI
- Anomaly Detection Techniques and Applications
- Groundwater flow and contamination studies
- Hydraulic flow and structures
- High voltage insulation and dielectric phenomena
- Flow Measurement and Analysis
- Hydrology and Watershed Management Studies
- Climate variability and models
- Geotechnical Engineering and Underground Structures
- Electricity Theft Detection Techniques
- Infrastructure Maintenance and Monitoring
- Multi-Criteria Decision Making
- IoT-based Smart Home Systems
Universidade Federal de Minas Gerais
2019-2025
Universitat Politècnica de València
2017-2025
Universidade do Estado de Minas Gerais
2023
Czech Academy of Sciences, Institute of Information Theory and Automation
2022
Universidade Estadual de Campinas (UNICAMP)
2016-2019
Université de Lorraine
2017-2018
Centre de Recherche en Automatique de Nancy
2017-2018
SANE Mental Health Charity
2018
Universidade Politecnica
2018
Union des Industries Ferroviaires Européennes
2018
The BATtle of the Attack Detection ALgorithms (BATADAL) is most recent competition on planning and management water networks undertaken within Water Distribution Systems Analysis Symposium. goal battle was to compare performance algorithms for detection cyber-physical attacks, whose frequency has increased in last few years along with adoption smart technologies. design challenge set C-Town network, a real-world, medium-sized distribution system operated through programmable logic...
Water distribution networks (WDNs), which are responsible for delivering water of adequate quantity and quality, vulnerable to threats such as leaks, pipe breaks, contaminant intrusions. Hence, it is important identify critical network elements develop more assertive maintenance strategies systems. This paper aims perform a risk assessment on leaks breaks support the identification in supply To this end, complex theory (CNT) applied an alternative conventional approaches that rely multiple...
Abstract Short‐term forecasting of water demand is a crucial process for managing efficiently supply systems. This paper proposes to develop novel graph convolutional recurrent neural network (GCRNN) predict time series related some systems or district metering areas that belong the same geographical area. The aim build graph‐based model able capture dependence among different both in spatial and temporal terms. built on set graphs, its performance compared two methods, including...
Water distribution system monitoring is currently carried out using advanced real-time control technologies to achieve a higher operational efficiency. Data analysis techniques can be implemented for condition estimation, which are crucial tools managing, developing, and operating water networks the monitored flow rate pressure data at some network pipes nodes. This work proposes state estimation methodology that enables one infer hydraulic of speed pumping systems from these measurements....
Abstract Sustainable management of water resources is a key challenge nowadays and in the future. Water distribution systems have to ensure fresh for all users an increasing demand scenario related long-term effects due climate change. In this context, reliable short-term forecasting model crucial optimal resources. This study proposes novel deep learning based on long memory (LSTM) neural networks forecast hourly demand. Due limitations using multiple input sequences with different time...
Droughts and floods are natural phenomena in the Amazon, arising from spatial temporal variability of rainfall distribution. However, anthropogenic climate change forest degradation, summed to large-scale climatic events, have intensified their frequency, intensity onset, pushing Amazon region a critical tipping point. The Madeira River, largest most significant tributary is particularly vulnerable these extremes. Notable droughts 2005, 2010, 2015-2016 2023-2024, alongside major 2014 2021,...
Soil and water conservation is a pressing global challenge, exacerbated by land use changes, cover transitions, extreme rainfall events. Rainfall plays pivotal role in soil erosion due to its ability detach transport particles. Understanding spatial temporal variability critical for devising effective strategies. erosivity studies typically focus on the RUSLE R-factor quantify monthly annual trends. However, these broader timescales may overlook event-based dynamics captured metrics like...
The heavy rains and floods that struck southern Brazil in May 2024 highlighted the vulnerability of population to extreme hydrological disasters, resulting 176 confirmed fatalities, around 40 people missing, over 422,000 individuals displaced. Flood Early Warning Systems (FEWS) are crucial tools for reducing flood-related damage fatalities. accurate prediction flood peaks their timing is essential effective evacuation planning. This study proposes an enhanced Long Short-Term Memory (LSTM)...
Effective monitoring and forecasting of flood events are key aspects early warning systems, especially in areas susceptible to frequent floods. In this context, Artificial Intelligence (AI) techniques have proven be a strong tool for enhancing such systems because they can capture non-linear processes genesis. AI models make accurate predictions with minimum processing time, thus providing alternative nowcasting. However, the quality quantity stations black-box nature machine learning (ML)...
This study focuses on Fortaleza, the largest metropolis in Brazil’s semi-arid region. Due to recurrent droughts, massive infrastructure like high-density reservoir networks, inter-municipal and interstate water transfer systems, a seawater desalination plant have been implemented ensure city’s security. To evaluate quantitative qualitative impact of introducing these diverse sources into Fortaleza’s supply macrosystem, adequate calibration operating demand parameters is required. In this...
Management of large water distribution systems can be improved by dividing their networks into so‐called district metered areas (DMAs). However, such divisions must based on appropriated technical criteria. Considering the importance deeply understanding relationship between DMA creation and these criteria, this work proposes a performance analysis generation that takes account indicators as resilience index, demand similarity, pressure uniformity, age (and thus quality), solution...
Water distribution networks (WDNs) are designed to meet water demand with minimum implementation costs. However, this approach leads poor long-term results, since system resilience is also minimal, and requires the rehabilitation of network if expanded or increases. In addition, in emergency situations, such as pipe bursts, large areas will suffer shortage. use a criterion for WDN design difficult task, its economic value subjective. Thus, paper, it proposed that trunk (TNs) rehabilitated...
One of the primary concerns in water supply systems is pressure control. High increases both leakage and risk pipes bursting, while low can reduce supplied to consumers allow intrusion pathogens. Therefore, operation equipment must be optimized avoid such problems. In high zones, reducing valves (PRVs) are commonly used for However, energy dissipated from head loss could recovered produce electrical energy. The use pumps as turbines (PAT) this case an alternative improve system efficiency....
The design of district metered areas (DMA) in potable water supply systems is paramount importance for utilities to properly manage their systems. Concomitant main objective, namely, deliver quality consumers, the benefits include leakage reduction and prompt reaction cases natural or malicious contamination events. Given structure a distribution network (WDN), graph theory basis DMA design, clustering algorithms can be applied perform partitioning. However, such sectorization entails number...