Survey of technologies, techniques, and applications for big data analytics in smart energy hub

IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Energy Strategy Reviews Pub Date : 2024-11-01 DOI:10.1016/j.esr.2024.101582
Magda I. El-Afifi , Bishoy E. Sedhom , Abdelfattah A. Eladl , Sanjeevikumar Padmanaban
{"title":"Survey of technologies, techniques, and applications for big data analytics in smart energy hub","authors":"Magda I. El-Afifi ,&nbsp;Bishoy E. Sedhom ,&nbsp;Abdelfattah A. Eladl ,&nbsp;Sanjeevikumar Padmanaban","doi":"10.1016/j.esr.2024.101582","DOIUrl":null,"url":null,"abstract":"<div><div>The combination of energy hubs with advanced information and communication technology has resulted in the creation of an intelligent system referred to as a smart energy hub (SEH). The implementation of the SEH has facilitated the enhancement of the entire energy distribution system by enabling a two-way exchange of energy and information between utility providers and consumers. This has resulted in a system that is secure, efficient, and dependable. The significance and visibility of big data in the SEH are evident as a result of the growing accumulation of data quantities. A wide range of equipment and software work together to collect and use energy data. This includes tools used by both energy providers and customers, like smart meters, software for billing, and various monitoring and control systems. Additionally, sensors, computers, and communication networks play a crucial role in collecting and transmitting this data across the energy grid. Hence, big data plays a crucial role in the development of an enhanced SEH. This paper presents an introduction to the notion of SEH and its associated concepts, as well as the function of big data in the context of SEH. It also discusses the obstacles that big data encounters in the SEH domain and explores the potential opportunities that big data offers for SEH.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101582"},"PeriodicalIF":7.9000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Strategy Reviews","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211467X24002918","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

The combination of energy hubs with advanced information and communication technology has resulted in the creation of an intelligent system referred to as a smart energy hub (SEH). The implementation of the SEH has facilitated the enhancement of the entire energy distribution system by enabling a two-way exchange of energy and information between utility providers and consumers. This has resulted in a system that is secure, efficient, and dependable. The significance and visibility of big data in the SEH are evident as a result of the growing accumulation of data quantities. A wide range of equipment and software work together to collect and use energy data. This includes tools used by both energy providers and customers, like smart meters, software for billing, and various monitoring and control systems. Additionally, sensors, computers, and communication networks play a crucial role in collecting and transmitting this data across the energy grid. Hence, big data plays a crucial role in the development of an enhanced SEH. This paper presents an introduction to the notion of SEH and its associated concepts, as well as the function of big data in the context of SEH. It also discusses the obstacles that big data encounters in the SEH domain and explores the potential opportunities that big data offers for SEH.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
智能能源枢纽中大数据分析的技术、工艺和应用调查
能源枢纽与先进的信息和通信技术相结合,形成了一个被称为智能能源枢纽(SEH)的智能系统。智能能源枢纽的实施促进了公用事业供应商和消费者之间能源和信息的双向交流,从而改善了整个能源分配系统。这样就形成了一个安全、高效和可靠的系统。随着数据量的不断积累,大数据在 SEH 中的重要性和可见性不言而喻。各种设备和软件共同收集和使用能源数据。这包括能源供应商和客户使用的工具,如智能电表、计费软件以及各种监测和控制系统。此外,传感器、计算机和通信网络在能源网中收集和传输这些数据方面也发挥着至关重要的作用。因此,大数据在开发增强型 SEH 方面发挥着至关重要的作用。本文介绍了 SEH 概念及其相关概念,以及大数据在 SEH 中的作用。本文还讨论了大数据在 SEH 领域遇到的障碍,并探讨了大数据为 SEH 带来的潜在机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Energy Strategy Reviews
Energy Strategy Reviews Energy-Energy (miscellaneous)
CiteScore
12.80
自引率
4.90%
发文量
167
审稿时长
40 weeks
期刊介绍: Energy Strategy Reviews is a gold open access journal that provides authoritative content on strategic decision-making and vision-sharing related to society''s energy needs. Energy Strategy Reviews publishes: • Analyses • Methodologies • Case Studies • Reviews And by invitation: • Report Reviews • Viewpoints
期刊最新文献
An EnergyPlan analysis of electricity decarbonization in the CEMAC region Have configuration effects driven the coordinated enhancement of green energy system development in China and “Belt and Road” countries?–A qualitative comparative analysis based on panel data Survey of technologies, techniques, and applications for big data analytics in smart energy hub Evaluating the advancement of sustainable development objectives in recently industrialized nations by tying gold prices, fossil fuel prices, and energy use Pathways to innovation: How city pilots leverage digital technology to reduce carbon emissions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1