Research models and methodologies on the smart city: A systematic literature review
S Myeong, J Park, M Lee - Sustainability, 2022 - mdpi.com
A smart city is a sustainable city that solves urban problems and improves citizens' quality of
life through the fourth industrial revolution technology and governance between …
life through the fourth industrial revolution technology and governance between …
[HTML][HTML] ML-based energy management of water pum** systems for the application of peak shaving in small-scale islands
This study introduces an energy management method that smooths electricity consumption
and shaves peaks by scheduling the operating hours of water pum** stations in a smart …
and shaves peaks by scheduling the operating hours of water pum** stations in a smart …
Addressing the COVID-19 crisis by harnessing Internet of Things sensors and machine learning algorithms in data-driven smart sustainable cities
N Lyons, G Lăzăroiu - Geopolitics, History, and International Relations, 2020 - ceeol.com
This paper analyzes the outcomes of an exploratory review of the current research on data-
driven smart sustainable cities. The data used for this study was obtained and replicated …
driven smart sustainable cities. The data used for this study was obtained and replicated …
Cross layer design with weighted sum approach for extending device sustainability in smart cities
P Sarwesh, A Mathew - Sustainable Cities and Society, 2022 - Elsevier
IoT associates with MEMS technology and various other technologies to connect smart
devices globally. Providing reliable interaction between the smart devices and maintaining …
devices globally. Providing reliable interaction between the smart devices and maintaining …
An incremental learning framework for photovoltaic production and load forecasting in energy microgrids
Energy management is crucial for various activities in the energy sector, such as effective
exploitation of energy resources, reliability in supply, energy conservation, and integrated …
exploitation of energy resources, reliability in supply, energy conservation, and integrated …
An FPGA-based performance evaluation of artificial neural network architecture algorithm for IoT
Nowadays, the high number of devices and applications connected to the Internet has
generated a great amount of data being which makes privacy and protection a more …
generated a great amount of data being which makes privacy and protection a more …
Sensor-based big data applications and environmentally sustainable urban development in internet of things-enabled smart cities
Empirical evidence on sensor-based big data applications and environmentally sustainable
urban development in Internet of Things-enabled smart cities has been scarcely …
urban development in Internet of Things-enabled smart cities has been scarcely …
DPLBAnt: Improved load balancing technique based on detection and rerouting of elephant flows in software-defined networks
Traffic management in software-defined networks (SDNs) is critical for efficient bandwidth
utilization and resource provisioning. Recent works on SDN load balancing (LB) have …
utilization and resource provisioning. Recent works on SDN load balancing (LB) have …
Optimizing smart campus solutions: An evidential reasoning decision support tool
Smart technologies have become increasingly prevalent in various industries due to their
potential for energy cost reduction, productivity gains, and sustainability. Smart campuses …
potential for energy cost reduction, productivity gains, and sustainability. Smart campuses …
[HTML][HTML] Performance analysis of access class barring for next generation IoT devices
Massively dense deployment of Internet of Things (IoT) devices has put a stringent
requirement on cellular networks to provide convenient service for not only human type …
requirement on cellular networks to provide convenient service for not only human type …