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AuthorAltamimi, Emran
AuthorAl-Ali, Abdulaziz
AuthorMalluhi, Qutaibah M.
AuthorAl-Ali, Abdulla K.
Available date2024-07-17T07:14:48Z
Publication Date2024
Publication NameIET Smart Grid
ResourceScopus
Identifierhttp://dx.doi.org/10.1049/stg2.12161
ISSN25152947
URIhttp://hdl.handle.net/10576/56767
AbstractThe development of smart grids, traditional power grids, and the integration of internet of things devices have resulted in a wealth of data crucial to advancing energy management and efficiency. Nevertheless, public datasets remain limited due to grid operators' and companies' reluctance to disclose proprietary information. The authors present a comprehensive analysis of more than 50 publicly available datasets, organised into three main categories: micro- and macro-consumption data, detailed in-home consumption data (often referred to as non-intrusive load monitoring datasets or building data) and grid data. Furthermore, the study underscores future research priorities, such as advancing synthetic data generation, improving data quality and standardisation, and enhancing big data management in smart grids. The aim of the authors is to enable researchers in the smart and power grid a comprehensive reference point to pick suitable and relevant public datasets to evaluate their proposed methods. The provided analysis highlights the importance of following a systematic and standardised approach in evaluating future methods and directs readers to future potential venues of research in the area of smart grid analytics.
SponsorThis publication is supported in part by grant NPRP12C\u201033905\u2010SP\u201066 from the Qatar National Research Fund. The findings achieved herein are solely the responsibility of the authors.
Languageen
PublisherJohn Wiley and Sons Inc
Subjectbuilding management systems; data analysis; power consumption; power grids; SCADA systems; smart metres; smart power grids
TitleSmart grid public datasets: Characteristics and associated applications
TypeArticle Review
Pagination-
dc.accessType Open Access


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