A review of operational control strategies in water supply systems for energy and cost efficiency
Water supply systems (WSS) are intensive energy demanding infrastructures relying on
water storage tanks and pumping systems for delivering water to consumers which face …
water storage tanks and pumping systems for delivering water to consumers which face …
A critical review of short-term water demand forecasting tools—what method should i use?
A Niknam, HK Zare, H Hosseininasab, A Mostafaeipour… - Sustainability, 2022 - mdpi.com
The challenge for city authorities goes beyond managing growing cities, since as cities
develop, their exposure to climate change effects also increases. In this scenario, urban …
develop, their exposure to climate change effects also increases. In this scenario, urban …
Urban water demand prediction for a city that suffers from climate change and population growth: Gauteng province case study
The proper management of a municipal water system is essential to sustain cities and
support the water security of societies. Urban water estimating has always been a …
support the water security of societies. Urban water estimating has always been a …
Hybridised artificial neural network model with slime mould algorithm: a novel methodology for prediction of urban stochastic water demand
SL Zubaidi, IH Abdulkareem, KS Hashim… - Water, 2020 - mdpi.com
Urban water demand prediction based on climate change is always challenging for water
utilities because of the uncertainty that results from a sudden rise in water demand due to …
utilities because of the uncertainty that results from a sudden rise in water demand due to …
A novel methodology for prediction urban water demand by wavelet denoising and adaptive neuro-fuzzy inference system approach
Accurate and reliable urban water demand prediction is imperative for providing the basis to
design, operate, and manage water system, especially under the scarcity of the natural …
design, operate, and manage water system, especially under the scarcity of the natural …
[HTML][HTML] A novel methodology to predict monthly municipal water demand based on weather variables scenario
This study provides a novel methodology to predict monthly water demand based on several
weather variables scenarios by using combined techniques including discrete wavelet …
weather variables scenarios by using combined techniques including discrete wavelet …
Short-term water demand forecast based on automatic feature extraction by one-dimensional convolution
L Chen, H Yan, J Yan, J Wang, T Tao, K Xin, S Li… - Journal of …, 2022 - Elsevier
Short-term water demand forecast is one of the most important technology for urban water
supply management. The accuracy and timeliness of the forecast have an important impact …
supply management. The accuracy and timeliness of the forecast have an important impact …
Probabilistic urban water demand forecasting using wavelet-based machine learning models
A recent nonlinear and multiscale framework, the Wavelet Data-Driven Forecasting
Framework (WDDFF), was proposed for water resources forecasting. The main objective of …
Framework (WDDFF), was proposed for water resources forecasting. The main objective of …
Advanced techniques for monitoring and management of urban water infrastructures—An overview
Water supply systems are essential for a modern society. This article presents an overview
of the latest research related to information and communication technology systems for …
of the latest research related to information and communication technology systems for …
Seasonal forecast of soil moisture over Mediterranean-climate forest catchments using a machine learning approach
Seasonal forecast of soil moisture at large spatial scale over forested landscape has
numerous implications in forest hydrology and bushfire risk planning. Remotely sensed …
numerous implications in forest hydrology and bushfire risk planning. Remotely sensed …