Digitalisierung und Energie 4.0 – Wie schaffen wir die digitale Energiewende?

Irlbeck, Maximilian

doi:10.1007/978-3-658-15737-1_8

Cited by 2 publications

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“…In Germany, integrating the intelligent energy supply system (smart grid) creates a new IT infrastructure. The intelligent measuring system (iMSys), containing a basic meter (smart meter) and the smart meter gateway (SMGW) [2], is currently being installed in many households and companies in Germany. The digitalization of the electricity grid, however, brings new dangers and challenges in security and data protection.…”

Section: Overviewmentioning

confidence: 99%

“…The implementation of intelligent electricity meters (so-called smart meters) creates the communication infrastructure needed. The most important component is the gateway (Smart Meter Gateway, SMGW), the central communication unit [2]. Cost and benefit analyses have shown that the construction and operation of this infrastructure are too costly for the application of "smart metering" [5], so the infrastructure is being opened up for other divisions and services, such as value-added services.…”

Section: Research Contextmentioning

confidence: 99%

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A Process-Oriented Framework for Security Assessment of Cyber-Physical Systems

Neubauer¹

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confidence: 99%

Section: Research Contextmentioning

confidence: 99%

A Process-Oriented Framework for Security Assessment of Cyber-Physical Systems

Neubauer¹

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Framework for Automated Data-Driven Model Adaption for the Application in Industrial Energy Systems

et al. 2021

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Leopold Prendl et al.: Framework for automated data-driven model adaption for the application in industrial energy systems This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/ACCESS.2021.3104058, IEEE Access Leopold Prendl et al.: Framework for automated data-driven model adaption for the application in industrial energy systems This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/ACCESS.2021.3104058, IEEE Access Leopold Prendl et al.: Framework for automated data-driven model adaption for the application in industrial energy systems

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Digitalisierung und Energie 4.0 – Wie schaffen wir die digitale Energiewende?

Cited by 2 publications

References 0 publications

A Process-Oriented Framework for Security Assessment of Cyber-Physical Systems

A Process-Oriented Framework for Security Assessment of Cyber-Physical Systems

Framework for Automated Data-Driven Model Adaption for the Application in Industrial Energy Systems

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