[HTML][HTML] AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
[HTML][HTML] The contribution of data-driven technologies in achieving the sustainable development goals
The United Nations' Sustainable Development Goals (SDGs) set out to improve the quality of
life of people in developed, emerging, and developing countries by covering social and …
life of people in developed, emerging, and developing countries by covering social and …
[HTML][HTML] 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 …
[HTML][HTML] Big data and the united nations sustainable development goals (UN SDGs) at a glance
H Hassani, X Huang, S MacFeely… - Big Data and Cognitive …, 2021 - mdpi.com
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015
was a historic event, uniting countries around the world around the shared agenda of …
was a historic event, uniting countries around the world around the shared agenda of …
[HTML][HTML] 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 …
Novel approach for burst detection in water distribution systems based on graph neural networks
Sustainable management of water resources is a key challenge for the well-being and
security of current and future society worldwide. In this regard, water utilities have to ensure …
security of current and future society worldwide. In this regard, water utilities have to ensure …
Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
Abstract Applications of Machine Learning methods make a paradigm shift in the domain of
water resources engineering. This study not only presents the story of emerging eXtreme …
water resources engineering. This study not only presents the story of emerging eXtreme …
IoT-enabled water distribution systems—A comparative technological review
Water distribution systems are one of the critical infrastructures and major assets of the water
utility in a nation. The infrastructure of the distribution systems consists of resources …
utility in a nation. The infrastructure of the distribution systems consists of resources …
[HTML][HTML] Urban water consumption at multiple spatial and temporal scales. A review of existing datasets
Over the last three decades, the increasing development of smart water meter trials and the
rise of demand management has fostered the collection of water demand data at …
rise of demand management has fostered the collection of water demand data at …