Micro hydro power generation in water distribution networks through the optimal pumps-as-turbines sizing and control

MK Kostner, A Zanfei, JC Alberizzi, M Renzi, M Righetti… - Applied Energy, 2023 - Elsevier
Sustainable use of water and energy sources is a crucial challenge for smart and resilient
urban water infrastructure. At this aim, this study presents a methodology for implementing …

[PDF][PDF] Research on multi-objective optimal allocation of regional water resources based on improved sparrow search algorithm

Z Yao, Z Wang, X Cui, H Zhao - Journal of Hydroinformatics, 2023 - iwaponline.com
Nowadays, the conflict between the supply and demand of water resources in many regions
is becoming increasingly prominent. Scientific allocation of regional water resources has …

[HTML][HTML] Estimation of Hydraulic and Water Quality Parameters Using Long Short-Term Memory in Water Distribution Systems

N Sadiki, DW Jang - Water, 2024 - mdpi.com
Predicting essential water quality parameters, such as discharge, pressure, turbidity,
temperature, conductivity, residual chlorine, and pH, is crucial for ensuring the safety and …

Forecasting urban water demand using different hybrid-based metaheuristic algorithms' inspire for extracting artificial neural network hyperparameters

SL Zubaidi, H Al-Bugharbee, AW Alattabi, HM Ridha… - Scientific Reports, 2024 - nature.com
This research offers a novel methodology for quantifying water needs by assessing weather
variables, applying a combination of data preprocessing approaches, and an artificial neural …

[HTML][HTML] Explainable artificial intelligence for reliable water demand forecasting to increase trust in predictions

C Maußner, M Oberascher, A Autengruber, A Kahl… - Water Research, 2025 - Elsevier
Abstract The “EU Artificial Intelligence Act” sets a framework for the implementation of
artificial intelligence (AI) in Europe. As a legal assessment reveals, AI applications in water …

Toward establishing a knowledge graph for drought disaster based on ontology design and named entity recognition

Y Fang, D Zhang, G Wu - Journal of Hydroinformatics, 2023 - iwaponline.com
Drought disasters have caused serious impacts on the social economy and ecological
environment, which are continuously and increasingly exacerbated by climate warming and …

[HTML][HTML] Graph neural networks for sensor placement: A proof of concept towards a digital twin of water distribution systems

A Menapace, A Zanfei, M Herrera, B Brentan - Water, 2024 - mdpi.com
Urban water management faces new challenges due to the rise of digital solutions and
abundant data, leading to the development of data-centric tools for decision-making in …

[HTML][HTML] Medium-term water consumption forecasting based on deep neural networks

A Gil-Gamboa, P Paneque, O Trull… - Expert Systems with …, 2024 - Elsevier
Water consumption forecasting is an essential tool for water management, as it allows for
efficient planning and allocation of water resources, an undervalued but indispensable …

Real-time reservoir operation using inflow and irrigation demand forecasts in a reservoir-regulated river basin

K Sushanth, A Mishra, R Singh - Science of The Total Environment, 2023 - Elsevier
Real-time reservoir operation using inflow and irrigation demand forecasts can help
reservoir system managers make effective water management decisions. Forecasting of …

An enhanced method for automated end-use classification of household water data

F Mazzoni, M Blokker, S Alvisi… - Journal of …, 2024 - iwaponline.com
An accurate estimation of residential end uses of water is helpful in develo** efficient
water systems. If not obtainable through direct metering, this information can be gathered by …