A short-term water demand forecasting model using multivariate long short-term memory with meteorological data
Sustainable management of water resources is a key challenge nowadays and in the future.
Water distribution systems have to ensure fresh water for all users in an increasing demand …
Water distribution systems have to ensure fresh water for all users in an increasing demand …
[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 …
Automatic Completion of Underground Utility Topologies Using Graph Convolutional Networks
The absence of utility data, particularly about topological information, presents a significant
impediment to the efficient management of underground utilities. Previous studies …
impediment to the efficient management of underground utilities. Previous studies …
A hybrid approach combining the multi-dimensional time series k-means algorithm and long short-term memory networks to predict the monthly water demand …
A Niknam, HK Zare, H Hosseininasab… - Earth Science …, 2023 - Springer
An authentic water consumption forecast is an auxiliary tool to support the management of
the water supply and demand in urban areas. Providing a highly accurate forecasting model …
the water supply and demand in urban areas. Providing a highly accurate forecasting model …
[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] Impacts of Missing Data Imputation on Resilience Evaluation for Water Distribution System
Resilience-based decision-making for urban water distribution systems (WDSs) is a
challenge when WDS sensing data contain incomplete or missing values. This study …
challenge when WDS sensing data contain incomplete or missing values. This study …
Using digitalisation for a real-word implementation of an early warning system for water leakages
M Oberascher, C Maussner, P Hinteregger… - Water Practice & …, 2025 - iwaponline.com
ABSTRACT A timely detection and localisation of leakages is of highest interest to reduce
water losses. As stated in the literature, most leakage detection and localisation methods …
water losses. As stated in the literature, most leakage detection and localisation methods …
AI-Forecast: an innovative and practical tool for short-term water demand forecasting
Water management is a major contemporary and future challenge. In an increasing water
demand scenario related to climate change, a water distribution system must ensure equal …
demand scenario related to climate change, a water distribution system must ensure equal …
Exploring the feasibility of Support Vector Machine for short-term hydrological forecasting in South Tyrol: challenges and prospects
Short-term hydrological forecasting is crucial for suitable multipurpose water resource
management involving water uses, hydrological security, and renewable production. In the …
management involving water uses, hydrological security, and renewable production. In the …
[HTML][HTML] Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting
This work proposes a cascade model incorporating Long–Short-Term Memory (LSTM) and
Multi-Layer Perceptron (MLP), which offers a more reliable model to forecast short-term …
Multi-Layer Perceptron (MLP), which offers a more reliable model to forecast short-term …