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Title	Probabilistic Distribution Identification For Power Load In Australian "Smart Grid, Smart City" Dataset
ID_Doc	43244
Authors	Ye Z.; Luo F.
Year	2024
Published	BuildSys 2024 - Proceedings of the 2024 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
DOI	http://dx.doi.org/10.1145/3671127.3699681
Abstract	Power consumption of end energy users is stochastic in nature. In some uncertain-aware energy demand side management applications (such as probabilistic load forecasting and stochastic home energy management), understanding the probabilistic characteristics of end energy users' power load plays a fundamental role. This paper reports the results of probabilistic distribution identification performed on an Australian "Smart Grid, Smart City" residential power load dataset. The identification work aims to examine whether the power of single residential users consumed at different hours of the day can be described by a specific probability distribution. The work in this paper is expected to provide a reference to understanding single residential users' power load characteristics and to the development of upper-level uncertain- aware demand side management applications. © 2024 Copyright held by the owner/author(s).
Author Keywords	Power demand side management; Probabilistic distribution identification; Probabilistic load forecasting; Smart grid

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