smart grid edge computing

Edge Computing for Smart Grid: An Overview on …

In Sect.2.4, an edge computing model is presented for the smart home and smart grid by introducing an architecture that distributes computation and enables the edge devices to contribute to data processing. Then we overview the cur-rent art in edge computing for smart grid in Sect.2.5. A use-case for edge computing in smart grid is presented in ...

A Super-Efficient GSM Triplexer for 5G-Enabled IoT in Sustainable Smart …

With advancements in smart grid, edge computing, and Metaverse-based technologies, it has become apparent that conventional private power networks are insufficient to meet the demanding requirements of industrial applications. The unique capabilities of 5G, such as numerous connections, high reliability, low latency, and large …

Editorial: Recent advances of edge computing for smart grid

Smart grid is a power system equipped with ICT system to allow for bidirectional flow of electricity and information [1-2]. With the development of Internet of Things (IoT), a large number of terminal devices have been connected to smart grid and generated massive real-time data. The computing and storage resources of edge …

Blockchain-Based Anonymous Authentication With Key Management for Smart ...

Abstract: Achieving low latency and providing real-time services are two of several key challenges in conventional cloud-based smart grid systems, and hence, there has been an increasing trend of moving to edge computing. While there have been a number of cryptographic protocols designed to facilitate secure communications in smart …

Edge Computing for IoT-Enabled Smart Grid

Our survey deals with the integration of edge computing with IoT-based smart grid. Framework for EC-IoT-based SG is examined, and important requirements to …

Hello, Grid Edge. Goodbye, Smart Grid?

Let''s discuss the Smart Grid and Grid Edge, and let''s help you figure out which reality you are a part of. Smart Grid. One of the first mentions of the term Smart Grid was in 2007 by the Department of Energy; through the American Recovery and Reinvestment Act, the U.S. government invested $4.5 Billion USD in grid modernization [1].

A Super-Efficient GSM Triplexer for 5G-Enabled IoT in Sustainable Smart …

Global concerns regarding environmental preservation and energy sustainability have emerged due to the various impacts of constantly increasing energy demands and climate changes. With advancements in smart grid, edge computing, and Metaverse-based technologies, it has become apparent that conventional private power …

Application of Edge Computing in Smart Grid | Semantic Scholar

This paper focuses on the analysis of how edge computing technology is combined with power grid services and discusses the application of edge computing in smart grids. The development of the Internet of Things has promoted the development of smart grids. Edge computing, as one of the key technologies for Internet of Things …

Blockchain-Based Anonymous Authentication With Key Management for Smart ...

Achieving low latency and providing real-time services are two of several key challenges in conventional cloud-based smart grid systems, and hence, there has been an increasing trend of moving to edge computing. While there have been a number of cryptographic protocols designed to facilitate secure communications in smart grid …

Edge Computing for IoT-Enabled Smart Grid | Security and …

Abstract. Smart grid is a new vision of the conventional power grid to integrate green and renewable technologies. Smart grid (SG) has become a hot research topic with the development of new technologies, such as IoT, edge computing, artificial intelligence, big data, 5G, and so on. The efficiency of SG will be increased by smart embedded ...

Edge Computing for IoT-Enabled Smart Grid: The Future of Energy …

In this work, we perform a comprehensive survey of edge computing for IoT-enabled smart grid systems. In addition, recent smart grid frameworks based on IoT …

Prosumer in smart grids based on intelligent edge computing: A …

Edge computing for prosumer smart grid: Architectures and tools3.1. Architectures and tools. EC was chosen as an attractive research issue because it was a successor to the cloud and FogComp. Due to these benefits, EC is attracted by many academics and industries, respectively. Indeed, EC is a range of advanced technologies …

Smart Grid 3.0: Grid with Proactive Intelligence | SpringerLink

Edge computing, cloud computing, and fog computing are all useful for the smart grid in different ways . The differences can be explained as follows: Edge Computing: Edge computing involves performing data processing tasks at the edge devices, such as sensors and smart meters, rather than relying solely on centralized cloud systems. This ...

Pairing based anonymous and secure key agreement protocol for smart …

Since Edge computing has a plethora of valuable applications and Smart Grid is one of them, therefore similar challenges hold for it and similar requirements are intended for it [[2], [3], [4]]. Smart Grid is an ameliorated electricity generation and distribution infrastructure with aided features of intelligence and two-way communication [ …

Smart grid encounters edge computing: opportunities and …

TLDR. This study analyzes the problems that edge computing may face in terms of data security, communication delay, and resource allocation, and proposes corresponding solution strategies, and summarizes the advantages and prospects of edge computing applications in smart grids based on IoT. Expand. 1 Excerpt.

Edge Computing Applications for Smart Grid and Distributed …

To meet smart grid power utilities goals for reliability, affordability and sustainability in these dynamic times, utilities must modernize the power grid to capitalize on new and emerging technologies. These technologies include Edge Computing and Internet of Things (IoT) solutions that turn operational data into actionable intelligence.

Smart Cities | Free Full-Text | Edge Offloading in Smart Grid

The device layer consists of sensors, tags, actuators, and smart meters that collect data from the smart grid. The edge-computing layer is located at the network edge with the primary goal of filtering and preprocessing data from the device layer before sending it to the cloud. The cloud computing layer is responsible for storage, …

Edge Computing-Based Multitasking Strategies in Smart Grids

The authors propose an edge-computing-based smart grid terminal multitasking assignment strategy (MPA) to solve this problem. Compared with traditional task assignment methods, the MPA algorithm divides smart grid terminal tasks into different classes. It selects appropriate edge servers for tasks by considering a combination of …

Edge Computing in Smart Grids | SpringerLink

The study of edge computing for enabling smart charging of electric vehicles is another smart grid niche that has been gaining popularity in the scientific community. In Liu et al. ( 2020a ), by using concepts of software-defined networking and vehicular edge computing, a joint problem of fast charging station selection and route planning was ...

Modeling and simulation of smart grid-aware edge computing …

Edge computing can benefit significantly from different aspects of smart grids to achieve lower energy consumption and greater resilience to electricity price …

Construction of Smart Grid Load Forecast Model by Edge Computing …

This research aims to minimize the unnecessary resource consumption by intelligent Power Grid Systems (PGSs). Edge Computing (EC) technology is used to forecast PGS load and optimize the PGS load forecasting model. Following a literature review of EC and Internet of Things (IoT)-native edge devices, an intelligent PGS …

Multi-keyword searchable encryption for smart grid edge computing ...

This paper develops a novel SPE scheme supporting semantic multi-keywords search over encrypted data that is proven to be secure against chosen keywords attacks and is the first time to construct semantic keywords search scheme overencrypted data in the public key setting. Expand. 16. PDF.

Power flow adjustment for smart microgrid based on edge computing …

To process, analyze and store power consumption information, Chen proposes a smart grid system based on IoT and mobile edge computing, and demonstrates that the proposed system supports substantial terminal management, real-time analysis and massive data processing . The above works propose a series of …

Edge Computing for Smart Grid: An Overview on Architectures …

An edge computing model for the smart grid information processing, with a focus on smart home, is presented in this chapter. The advantages of this model in terms of self-supporting and privacy ...

Multi-keyword searchable encryption for smart grid edge computing ...

The edge computing resource allocation can meet the offline processing and analysis of small area data and ensure the processing of power data. Therefore, ensuring the privacy of data and retrieving user data on demand have become the key problems of intelligent computing at the edge of smart grid.

A Critical Review of Edge and Fog Computing for Smart Grid

Intelligent coordination of resources and applications is one of the features of edge computing that has been greatly exploited by researchers to develop smart grid applications. A research work by Wang et al. [ 27] devised a software based scheme to coordinate tasks for scheduling and collaboration.

Edge Computing in Smart Grids: Reshaping the Energy …

An AI and analytics-based smart grid will require the ability to process data locally and quickly – this is where edge computing fits. This article explores the benefits of the combination of smart grids and edge computing.

(PDF) Edge Computing for IoT-Enabled Smart Grid

Smart grid (SG) has become a hot research topic with the development of new technologies, such as IoT, edge computing, artificial intelligence, big data, 5G, and so on.

False Data Injection Attacks Detection in Real Smart Grid with Edge ...

False Data Injection Attacks (FDIAs) pose great challenges to the security and stability of smart grid due to their stealthily distort measurement data. Excessively low data update frequency further makes it difficult to detect stealthy FDIAs. By taking the advantages of edge computing, it is possible to collect data adjacent to the terminals. In this work, we …

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