2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT) 2013
DOI: 10.1109/isgt.2013.6497915
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Maturity model for advancing smart grid interoperability

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Cited by 8 publications
(4 citation statements)
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“…The LCIM is not the only layered model for simulation interoperability but it has been applied far beyond the simulation interoperability community, and publications describing it have been referenced more than 1000 times. Some published interesting use-cases for the LCIM are the addressing interoperability challenges in the smart grid, 104 contributing to interoperability of medical devices, 105 and general healthcare interoperability support, 106 system-of-systems integration, 107 security systems in public transport, 108 the Industrial Internet of Things (IIoT), 109 Blockchain operations, 110 digital twins, 111 and more. It was even applied to address the challenges of the Digital Library Ecosystem of the Library of Congress.…”
Section: The Need For Conceptual Alignmentmentioning
confidence: 99%
“…The LCIM is not the only layered model for simulation interoperability but it has been applied far beyond the simulation interoperability community, and publications describing it have been referenced more than 1000 times. Some published interesting use-cases for the LCIM are the addressing interoperability challenges in the smart grid, 104 contributing to interoperability of medical devices, 105 and general healthcare interoperability support, 106 system-of-systems integration, 107 security systems in public transport, 108 the Industrial Internet of Things (IIoT), 109 Blockchain operations, 110 digital twins, 111 and more. It was even applied to address the challenges of the Digital Library Ecosystem of the Library of Congress.…”
Section: The Need For Conceptual Alignmentmentioning
confidence: 99%
“…This motivates the requirement for a transdisciplinarity-enabling framework for HMs, similar to the efforts of the smart grid community ( Knight et al 2013 ), which allows the required level of collaboration to enable the migration from multidisciplinary approaches to ultimately transdisciplinary research. Our focus lies with simulation solutions, HM and simulation studies of every type, as captured in the collected studies of Balaban et al (2014a , 2014b , 2015 ).…”
Section: Building Blocks Of the Framework And The Three Research Persmentioning
confidence: 99%
“…The topic of research is defined by the discipline, topics of interests and the supporting theories. However, organisational and human aspects are often as important for collaboration as the possibility of aligning supporting elements captured in theories, methods, and tools, as captured by Knight et al (2013) for the collaboration between energy providers, energy consumers, and regulators in a future Smart Power Grid environment. They observed that the alignment of tools and methods via standards was much easier to accomplish than the development of mutually agreed and supported business processes by the different stakeholders.…”
Section: Transdisciplinarity Enabling Framework For Hybrid Modelsmentioning
confidence: 99%
“…The model should support methods and processes which serve the integration and maintenance of automated components in the context of Smart Grid. Even though interoperability is a very complex issue, the currently developed model should be configured in a way that allows for creating understanding and benefit on a high level of abstraction, as well as on a detailed level [25].…”
Section: Sg Immmentioning
confidence: 99%