A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory

Y Wu, HN Dai, H Wang, Z **ong… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Network slicing has been widely agreed as a promising technique to accommodate diverse
services for the Industrial Internet of Things (IIoT). Smart transportation, smart energy, and …

Edge-cloud architectures for hybrid energy management systems: a comprehensive review

O Boiko, A Komin, R Malekian… - IEEE sensors …, 2024 - ieeexplore.ieee.org
This article provides an overview of recent research on edge-cloud architectures in hybrid
energy management systems (HEMSs). It delves into the typical structure of an IoT system …

[HTML][HTML] Edge intelligence in Smart Grids: A survey on architectures, offloading models, cyber security measures, and challenges

DN Molokomme, AJ Onumanyi… - Journal of Sensor and …, 2022 - mdpi.com
The rapid development of new information and communication technologies (ICTs) and the
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …

Integration of ICN and MEC in 5G and beyond networks: Mutual benefits, use cases, challenges, standardization, and future research

G Gür, A Kalla, C De Alwis, QV Pham… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves
cloudbased processing and storage capabilities closer to mobile users by implementing …

Dynamic federated learning for GMEC with time-varying wireless link

S Zhai, X **, L Wei, H Luo, M Cao - IEEE Access, 2021 - ieeexplore.ieee.org
Smart grid applications, such as predicting energy consumption, grid user behavior analysis
and predicting energy theft, etc., are data-driven applications that require machine learning …

Power flow adjustment for smart microgrid based on edge computing and multi-agent deep reinforcement learning

T Pu, X Wang, Y Cao, Z Liu, C Qiu, J Qiao… - Journal of Cloud …, 2021 - Springer
In current power grids, a massive amount of power equipment raises various emerging
requirements, eg, data perception, information transmission, and real-time control. The …

Edge computing application in smart grid-a review

M Anuradha - 2021 Second International Conference on …, 2021 - ieeexplore.ieee.org
The exponential demand for power has led to serious concerns related to reliability and
efficiency when transporting power to far-flung areas. The power grid is an essential …

Edge computing supported fault indication in smart grid

P Raussi, J Kilpi… - … for Smart Grids …, 2022 - ieeexplore.ieee.org
The distribution of smart grid applications to different physical devices not interconnected
with physical sensors has opened the possibility for software virtualization allowing flexible …

Cossimulação de Interconexão entre Redes Elétricas Inteligentes e Plataforma de Cidades Inteligentes via Comunicação Massiva do Tipo Máquina-Máquina

LHN Rodrigues, CFM Almeida - 2023 XV Brazilian Conference …, 2023 - ieeexplore.ieee.org
Com o advento da Indústria 5.0 o setor elétrico foi contemplado com dispositivos
inteligentes que impulsionam uma elevada penetração da microgeração de energia …

Communicating smart grid demand response and control data through LTE network related solutions

J Markkula - 2023 - oulurepo.oulu.fi
A smart grid (SG) is a modernized electrical grid utilizing new electronic information,
communications, and control technologies. The smart grid enables the efficient use of …