AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Artificial Intelligence …, 2023 - Springer
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

Urban drought challenge to 2030 sustainable development goals

X Zhang, N Chen, H Sheng, C Ip, L Yang… - Science of the Total …, 2019 - Elsevier
In the first two decades of the 21st century, 79 global big cities have suffered extensively
from drought disaster. Meanwhile, climate change has magnified urban drought in both …

Urban water demand prediction for a city that suffers from climate change and population growth: Gauteng province case study

SL Zubaidi, S Ortega-Martorell, H Al-Bugharbee, I Olier… - Water, 2020 - mdpi.com
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 …

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 …

A method for predicting long-term municipal water demands under climate change

SL Zubaidi, S Ortega-Martorell, P Kot… - Water Resources …, 2020 - Springer
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 …

A novel methodology for prediction urban water demand by wavelet denoising and adaptive neuro-fuzzy inference system approach

SL Zubaidi, H Al-Bugharbee, S Ortega-Martorell… - Water, 2020 - mdpi.com
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 …

[HTML][HTML] A novel methodology to predict monthly municipal water demand based on weather variables scenario

SL Zubaidi, K Hashim, S Ethaib, NSS Al-Bdairi… - Journal of King Saud …, 2022 - Elsevier
This study provides a novel methodology to predict monthly water demand based on several
weather variables scenarios by using combined techniques including discrete wavelet …

Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects

M Zounemat-Kermani, E Matta, A Cominola, X Xia… - Journal of …, 2020 - Elsevier
Neurocomputing methods have contributed significantly to the advancement of modelling
techniques in surface water hydrology and hydraulics in the last couple of decades, primarily …

Effect of initial pH value on the removal of reactive black dye from water by electrocoagulation (EC) method

KS Hashim, AH Hussein, SL Zubaidi… - Journal of Physics …, 2019 - iopscience.iop.org
This study investigates the influence of the initial pH on the removal of reactive black 5 dye
(RB5) from water using electrocoagulation (EC) reactor supplied with aluminium electrodes …

Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing

MA Alawsi, SL Zubaidi, NSS Al-Bdairi, N Al-Ansari… - Hydrology, 2022 - mdpi.com
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 …