[HTML][HTML] Review of virtual power plant operations: Resource coordination and multidimensional interaction

H Gao, T Jin, C Feng, C Li, Q Chen, C Kang - Applied Energy, 2024 - Elsevier
Virtual power plants (VPPs) have become an important technological means for large-scale
distributed energy resources to participate in the operation of power systems and electricity …

Denial of service attacks in edge computing layers: Taxonomy, vulnerabilities, threats and solutions

R Uddin, SAP Kumar, V Chamola - Ad Hoc Networks, 2024 - Elsevier
Edge computing has emerged as the dominant communication technology connecting IoT
and cloud, offering reduced latency and harnessing the potential of edge devices. However …

Edge artificial intelligence for big data: a systematic review

A Hemmati, P Raoufi, AM Rahmani - Neural Computing and Applications, 2024 - Springer
Edge computing, artificial intelligence (AI), and machine learning (ML) concepts have
become increasingly prevalent in Internet of Things (IoT) applications. As the number of IoT …

Edge aggregation placement for semi-decentralized federated learning in Industrial Internet of Things

B Xu, H Zhao, H Cao, S Garg, G Kaddoum… - Future Generation …, 2024 - Elsevier
Rapid technological advancements have resulted in more smart devices with an increased
volume of data in Industrial Internet of Things (IIoT) systems. These data often contain …

[PDF][PDF] Wireless Power Assisted Computation Offloading in Mobile Edge Computing: A Deep Reinforcement Learning Approach

M Maray, E Mustafa, J Shuja - HUMAN-CENTRIC COMPUTING …, 2024 - researchgate.net
One of the missions of mobile edge computing (MEC) is to develop innovative applications
in closer proximity while preserving latency constraints. Integration of MEC with the …

A Game-Theoretic Approach Based Task Offloading and Resource Pricing Method for Idle Vehicle Devices Assisted VEC

Y Chen, J Wu, J Han, H Zhao… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Vehicle Edge Computing (VEC), as an emerging computing paradigm, aims to achieve the
high efficiencies and quality of service by distributing computation tasks to vehicles and …

Multi-Access Edge Computing Handover Strategies, Management, and Challenges: A Review

S Alkaabi, M Gregory, S Li - IEEE Access, 2024 - ieeexplore.ieee.org
The deployment and operation of Multi-Access Edge Computing (MEC) at the network edge
provides low latency computing and storage services for end user devices. Support for …

[HTML][HTML] Delay and cost-balanced communication resource management for IoT-empowered distribution grid energy dispatch

Z Shi - Frontiers in Energy Research, 2024 - frontiersin.org
The combination of internet of things (IoT), 5G, and power line communication (PLC)
provides real-time and low-cost data transmission services to meet the quality of service …

Large-Scale Multi-Agent Learning-Based Cloud-Edge Collaborative Distributed PV Data Compression and Information Aggregation for Multimodal Network in Power …

J Feng, B Huang, X Zhou, X Jin - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To ensure the large-scale integration of distributed photovoltaic (PV) into power system, it is
imperative to collect and aggregate real-time operational data. However, the substantial …

Quantitative data processing of whole service value chain for power grid internal simulation market

N Liu - Systems Science & Control Engineering, 2024 - Taylor & Francis
The internal simulation market system can stimulate employee initiative, reduce costs and
improve information processing efficiency. However, the complexity of the internal simulation …