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Toward a Model-Based Approach for Analyzing Information Quality Requirements for Smart Grid

Research Area: Uncategorized Year: 2019
Type of Publication: In Proceedings Keywords: Smart Grid, Information Quality, Data Quality, System-of-Systems, SoS
Authors: Mohamad Gharib; Paolo Lollini; Andrea Bondavalli
Book title: 15th European Dependable Computing Conference, EDCC
Pages: 183-185
ISBN: 978-1-7281-3929-6
BibTex:
Abstract:
Nowadays, most developed countries need to optimize their electricity production and consumption, which has led to the development of the Smart Grid (SG) concept. SG has a main objective of optimizing the generation, consumption, and management of electricity via information and communication technology. However, the vast amounts of information generated and processed in SG environments raise the issue of Information Quality (IQ). Accordingly, IQ has become an increasingly prominent issue in SG, since IQ can directly affect the services quality, reliability, and availability of an electric power supply. Despite this, the current IQ related issues in SG are still addressed in an ad-hoc manner. Without considering IQ requirements during the design of SG, it will be vulnerable to faults arising from depending on low-quality information, which may influence the dependability, reliability and efficient performance of SG. In this track of research, we aim at tackling this problem by developing a model-based approach for modeling and analyzing IQ requirements for SG.

Resilient Computing Lab, 2011

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