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Cited by 513

The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.

Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review

Open access
Hossain, Eklas, Khan, Imtiaj, Un-Noor, Fuad, Sikander, Sarder Shazali, Sunny, Md. Samiul Haque·2019·IEEE Access
DOI 10.1109/access.2019.2894819
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Abstract

This paper conducts a comprehensive study on the application of big data and machine learning in the electrical power grid introduced through the emergence of the next-generation power system-the smart grid (SG). Connectivity lies at the core of this new grid infrastructure, which is provided by the Internet of Things (IoT). This connectivity, and constant communication required in this system, also introduced a massive data volume that demands techniques far superior to conventional methods for proper analysis and decision-making. The IoT-integrated SG system can provide efficient load forecasting and data acquisition technique along with cost-effectiveness. Big data analysis and machine learning techniques are essential to reaping these benefits. In the complex connected system of SG, cyber security becomes a critical issue; IoT devices and their data turning into major targets of attacks. Such security concerns and their solutions are also included in this paper. Key information obtained through literature review is tabulated in the corresponding sections to provide a clear synopsis; and the findings of this rigorous review are listed to give a concise picture of this area of study and promising future fields of academic and industrial research, with current limitations with viable solutions along with their effectiveness.

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Metadata

Authors
Hossain, E., Khan, I., Un-Noor, F., Sikander, S. S., & Sunny, M. S. H.
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2019
Volume
7
Pages
13960-13988
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2019.2894819
OpenAlex
W2914057541
Cited by
513
References
150
FWCI
21.06
Type
journal article
Language
en
Open access
gold
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html (vor)

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CoChat. (2026). Citation check: Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review. https://app.cochat.ai/papers/10.1109/access.2019.2894819
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Hossain, E., Khan, I., Un-Noor, F., Sikander, S. S., & Sunny, M. S. H. (2019). Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review. IEEE Access. https://doi.org/10.1109/access.2019.2894819

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