Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing
Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …
animals, and people. Over the last decades, gradual changes in drought indices have been …
Machine learning and data analytic techniques in digital water metering: A review
Digital or intelligent water meters are being rolled out globally as a crucial component in
improving urban water management. This is because of their ability to frequently send water …
improving urban water management. This is because of their ability to frequently send water …
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
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 method for predicting long-term municipal water demands under climate change
The accurate forecast of water demand is challenging for water utilities, specifically when
considering the implications of climate change. As such, this is the first study that focuses on …
considering the implications of climate change. As such, this is the first study that focuses on …
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 …
Decolourization of dye solutions by electrocoagulation: an investigation of the effect of operational parameters
This study investigates the influence of the current density on both removal of reactive black
5 dye (RB5) from water and energy consumption using aluminium-based electrocoagulation …
5 dye (RB5) from water and energy consumption using aluminium-based electrocoagulation …
The prediction of municipal water demand in Iraq: a case study of Baghdad governorate
Accurate prediction of short-term water demand plays an important role for water suppliers
as well as for government's water plan. This paper aims to predict a municipal water demand …
as well as for government's water plan. This paper aims to predict a municipal water demand …
Using LARS–WG model for prediction of temperature in Columbia City, USA
Climate change has placed considerable pressure on the residential environment in
different areas of the world. These issues have increased the motivation of researchers to …
different areas of the world. These issues have increased the motivation of researchers to …