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Data Analytics and Information Technologies for Smart Energy Storage Systems: A State-of-the-Art Review
Concordia Univ, Dept Bldg Civil & Environm Engn, Montreal, PQ, Canada..
Univ Tokyo, Inst Ind Sci, Tokyo, Japan..
Concordia Univ, Dept Bldg Civil & Environm Engn, Montreal, PQ, Canada..
Concordia Univ, Dept Bldg Civil & Environm Engn, Montreal, PQ, Canada..
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2022 (English)In: Sustainable cities and society, ISSN 2210-6707, Vol. 84, p. 104004-, article id 104004Article, review/survey (Refereed) Published
Abstract [en]

This article provides a state-of-the-art review on emerging applications of smart tools such as data analytics and smart technologies such as internet-of-things in case of design, management and control of energy storage systems. In particular, we have established a classification of the types and targets of various predictive analytics for estimation of load, energy prices, renewable energy inputs, state of the charge, fault diagnosis, etc. In addition, the applications of information technologies, and in particular, use of cloud, internet-of-things, building management systems and building information modeling and their contributions to management of energy storage systems will be reviewed in details. The paper concludes by highlighting the emerging issues in smart energy storage systems and providing directions for future research.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 84, p. 104004-, article id 104004
Keywords [en]
Energy Storage, Smart Systems, Artificial Intelligence, Renewable Energy Intermittency, Data Analytics, Information Technology
National Category
Business Administration
Identifiers
URN: urn:nbn:se:kth:diva-315928DOI: 10.1016/j.scs.2022.104004ISI: 000826279200002Scopus ID: 2-s2.0-85133235991OAI: oai:DiVA.org:kth-315928DiVA, id: diva2:1684735
Note

QC 20220728

Available from: 2022-07-28 Created: 2022-07-28 Last updated: 2022-07-28Bibliographically approved

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Behzadi, AmirmohammadSadrizadeh, Sasan

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Citation style
  • apa
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  • de-DE
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