Secure Smart Grid Management Maturity Within Big Data

Author:

Yenioğlu Zühre Aydın1ORCID,Ateş Vildan2

Affiliation:

1. Energy Market Regulatory Authority, Turkey

2. Ankara Yıldırım Beyazıt University, Turkey

Abstract

Smart energy systems of smart energy grid and meters are effective on operational processes and regulations in terms of security, continuity, and remote effective management. For a better development of smart grid, in which the data volume and complexity increases rapidly, smart energy management security plans should be implemented for efficiency and reliability of the network. Big data in energy systems plays an important role both in assessing the capacity needed and in making smarter investments to manage energy demand and supply. In this chapter, a novel secure smart energy management maturity model is presented in the context of capacity planning, demand forecasting, predictive maintenance, software optimization, network optimization, detecting and preventing threats, disaster recovery, and business intelligence and data visualization on which security criterias should be considered, planned, and managed for smart grids including big data. Relevant international big data and smart grid standards have been proposed for security, continuity, and performance in smart networks.

Publisher

IGI Global

Reference36 articles.

1. The three perspectives on energy security: intellectual history, disciplinary roots and the potential for integration

2. AlexanderD. E. (2002). Principles of emergency planning and management. Oxford University Press on Demand.

3. APERC. (2007). Quest for energy security in the 21st Century: resources and constraints. Asia Pacific Energy Research Centre.

4. Barker, S., Mishra, A., Irwin, D., Cecchet, E., Shenoy, P., & Albrecht, J. (2012). Smart*: An open data set and tools for enabling research in sustainable homes. SustKDD, 111(112), 108.

5. Energy Storage and Its Use With Intermittent Renewable Energy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3