Micro hydro power generation in water distribution networks through the optimal pumps-as-turbines sizing and control
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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
Real-time reservoir operation using inflow and irrigation demand forecasts can help
reservoir system managers make effective water management decisions. Forecasting of …
reservoir system managers make effective water management decisions. Forecasting of …
An enhanced method for automated end-use classification of household water data
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 …
water systems. If not obtainable through direct metering, this information can be gathered by …