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Reliability Data for Smart Grids: Where the Real Data can be Found

CHREN, Stanislav; Bruno ROSSI; Barbora BÜHNOVÁ and Tomáš PITNER

Basic information

Original name

Reliability Data for Smart Grids: Where the Real Data can be Found

Authors

CHREN, Stanislav (703 Slovakia, guarantor, belonging to the institution); Bruno ROSSI (380 Italy, belonging to the institution); Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution) and Tomáš PITNER ORCID (203 Czech Republic, belonging to the institution)

Edition

New York, 2018 Smart City Symposium Prague (SCSP), p. 1-6, 6 pp. 2018

Publisher

IEEE

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10200 1.2 Computer and information sciences

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/18:00102736

Organization unit

Faculty of Informatics

ISBN

978-1-5386-5017-2

UT WoS

000443451800003

EID Scopus

2-s2.0-85050257948

Keywords in English

Smart Grids; Power systems reliability; data analysis

Tags

International impact, Reviewed
Changed: 20/11/2019 10:02, doc. Bruno Rossi, PhD

Abstract

In the original language

Smart Grids play an important role in modern society and for the sustainability of its wellbeing. However, the undoubted advantages come at the cost of higher complexity, especially at the level of information and communication technologies that enhance the physical grid infrastructure. As such, software quality requirements, such as reliability, resilience, safety, security, privacy, and performance assume a more functional facet. In this paper, we focus on software reliability as one of the key qualities of a Smart Grid infrastructure, which is however not yet well defined and understood. We formulate relevant definitions of software reliability in the Smart Grid context, categorize information necessary to quantify the identified reliability views, and explore existing literature and online resources to assess what datasets, necessary for reliability quantification, are available to make the reliability assessment possible.

Links

EF16_019/0000822, research and development project
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur