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Smart Energy and power systems modelling: an IoT and Cyber-Physical Systems perspective, in the context of Energy Informatics

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2020 Norway Publisher:Elsevier BVJournal:Procedia Computer Science, volume 176, pages 2,254-2,263 (issn: 1877-0509,

Authors: Bordin, Chiara; Håkansson, Anne; Mishra, Sambeet;

doi: 10.1016/j.procs.2020.09.275

handle: 10037/20254

Smart Energy and power systems modelling: an IoT and Cyber-Physical Systems perspective, in the context of Energy Informatics

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Abstract

Abstract This paper aims at identifying the key role of ”Smart Energy and Power Systems Modelling”, within the context of Energy Informatics. The main objective is to describe how the specific subject of ”Smart Energy and Power Systems Modelling” can give a key contribution within the novel domain of Energy Informatics, by successfully linking and integrating the different disciplines involved. First the paper will present how and where the specific subject of ”Smart Energy and Power Systems Modelling” can position itself within the broad Energy Informatics domain. Afterwards the paper will explain how Cyber-Physical Systems (CPS) and Information and Communication Technologies (IoT), coupled with ”Smart Energy and Power Systems Modelling”, can enhance the Energy Informatics domain. In addition, the main challenges and opportunities for Energy Informatics specialists will be outlined, with regard to the interdisciplinary approach that characterises this field.

Country

Norway

Related Organizations

The Arctic University of Norway
Norway
Tallinn University of Technology
Estonia

Keywords

VDP::Mathematics and natural science: 400::Information and communication science: 420, VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	26
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%