EVs energy demands in MLF are planned as charging and discharging calendars to handle with EVs energy demands in smart grid environment. Our work integrates a ...
Abstract—In order to optimally schedule electric vehicles. (EVs) energy charging and discharging demands, we propose in this paper a multi-level fog (MLF) ...
Djabir Abdeldjalil Chekired, Lyes Khoukhi, Hussein Mouftah. Multi-Level Fog Based Resource Allocation Model for EVs Energy Planning in Smart Grid.
PDF | This paper investigates the allocation model, the flexibility, and the scalability of fully distributed communication architectures for metering.
Feb 4, 2023 · This paper assesses the optimal operation of the SGs using cloud computing (CC), fog computing, and resource allocation to enhance the management problem.
A three-layer cloud-fog-computing framework based on DRL is exploited for real-time EMS to manage uncertainties, real-time data processing and monitoring. The ...
Missing: Allocation | Show results with:Allocation
This paper investigates the allocation model, the flexibility, and the scalability of fully distributed communication architectures for metering systems in ...
Missing: EVs | Show results with:EVs
Mar 27, 2023 · The paper discusses a load-balancing approach in Smart Grid using Rock Hyrax Optimization (RHO) to optimize response time and energy consumption.
Fog-based cloud computing has numerous good characteristics, such as cost-saving, energy-saving, scalability, flexibility, and agility. Resource management is ...
Missing: Planning | Show results with:Planning
This paper presents the implementation of a three-procedure optimization algorithm within a novel Multi-Agent Cloud-fog Structure (MACS)