[HTML][HTML] 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, 2022 - mdpi.com
Water distribution system monitoring is currently carried out using advanced real-time
control technologies to achieve a higher operational efficiency. Data analysis techniques …

Boundary defense against cyber threat for power system state estimation

M Jin, J Lavaei, S Sojoudi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The operation of power grids is becoming increasingly data-centric. While the abundance of
data could improve system efficiency, it poses major reliability challenges. In particular, state …

Optimizing drinking water distribution system operations

BS Vieira, SF Mayerle, LMS Campos… - European Journal of …, 2020 - Elsevier
Abstract The operation of Water Distribution Systems (WDS) is often complex, especially
when considering the changes in tariffs throughout the day. The cost of energy in these …

Probabilistic state estimation in water networks

S Wang, AF Taha, N Gatsis, L Sela… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
State estimation (SE) in water distribution networks (WDNs), the problem of estimating all
unknown network heads and flows given select measurements, is challenging due to the …

State variable implications on hydraulic state estimation

E Ruiz, S Díaz, J González - Water Resources Management, 2022 - Springer
Abstract Hydraulic State Estimation allows to estimate the most likely state of a water supply
network considering multiple sources of information and their associated uncertainty. It is set …

Analytical stochastic microcomponent modeling approach to assess network spatial scale effects in water supply systems

S Díaz, J González - Journal of Water Resources Planning and …, 2020 - ascelibrary.org
End-uses at water supply systems typically follow a random pulse behavior, which blurs as
consumptions are aggregated upstream, affecting flow rate variability along the spatial …

Temporal scale effect analysis for water supply systems monitoring based on a microcomponent stochastic demand model

S Díaz, J González - Journal of Water Resources Planning and …, 2021 - ascelibrary.org
Water demands are the main random factor that conditions flow variability within drinking
water supply systems. The importance of using high-resolution demands in distribution …

Short‐Term Variability Effect on Peak Demand: Assessment Based on a Microcomponent Stochastic Demand Model

S Díaz, J González - Water Resources Research, 2022 - Wiley Online Library
Peak demand plays a major role in water distribution system design. Peak demand
assessment is currently facing a double challenge: shifting toward a probabilistic approach …

Allocating synthetic population to a finer spatial scale: An integer quadratic programming formulation

BF Yameogo, P Hankach… - … and Planning B …, 2023 - journals.sagepub.com
Agent-Based Models (ABMs) are being increasingly used to evaluate urban systems, urban
policies and environmental impacts. One prerequisite for using the ABM framework consists …

Hydraulic State Estimation: pilot implementation in a water distribution system

E Ruiz Gómez, S Díaz García, J González Pérez - 2024 - riunet.upv.es
[EN] Hydraulic State Estimation (HSE) is an effective tool for water supply systems
monitoring. This technique provides the most likely hydraulic state of the network by making …