Data Analytics and Information Technologies for Smart Energy Storage Systems: A State-of-the-Art Review

Fuzhan Nasiri*, Ryozo Ooka, Fariborz Haghighat, Navid Shirzadi, Mariagrazia Dotoli, Raffaele Carli, Paolo Scarabaggio, Amirmohammad Behzadi, Samira Rahnama, Alireza Afshari, Frédéric Kuznik, Enrico Fabrizio, Ruchi Choudhary, Sasan Sadrizadeh

*Kontaktforfatter

Publikation: Bidrag til tidsskriftReview (oversigtsartikel)peer review

Abstrakt

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 (IoT) 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, in particular, use of cloud, IoT systems, building
management systems (BMS) and building information modeling (BIM) 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.
OriginalsprogDansk
TidsskriftSustainable Cities and Society
Antal sider40
ISSN2210-6707
StatusAccepteret/In press - jun. 2022

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