Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques
Increasing urban populations due to factors such as more comfortable life and immigration
have turned self-sufficient traditional cities into mega-cities and caused several new …
have turned self-sufficient traditional cities into mega-cities and caused several new …
[HTML][HTML] Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management
Smart cities are an innovate concept for managing urban cities to enhance sustainability and
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …
Study and analysis of SARIMA and LSTM in forecasting time series data
Energy consumption forecasting is essential for smart grid operations as it facilitates
electricity demand management and utilities load planning. In this paper data analytics has …
electricity demand management and utilities load planning. In this paper data analytics has …
Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic
During the coronavirus disease 2019 (COVID-19) pandemic, the daily pattern of activities
changed dramatically for people across the globe, as they socially distanced and worked …
changed dramatically for people across the globe, as they socially distanced and worked …
Smart infrastructure: a vision for the role of the civil engineering profession in smart cities
Smart city programs provide a range of technologies that can be applied to solve
infrastructure problems associated with ageing infrastructure and increasing demands. The …
infrastructure problems associated with ageing infrastructure and increasing demands. The …
Graph convolutional recurrent neural networks for water demand forecasting
Short‐term forecasting of water demand is a crucial process for managing efficiently water
supply systems. This paper proposes to develop a novel graph convolutional recurrent …
supply systems. This paper proposes to develop a novel graph convolutional recurrent …
[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
A critical review of short-term water demand forecasting tools—what method should i use?
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 …
An artificial neural network model for water quality and water consumption prediction
With rapid urbanization, high rates of industrialization, and inappropriate waste disposal,
water quality has been substantially degraded during the past decade. So, water quality …
water quality has been substantially degraded during the past decade. So, water quality …
[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 …