2023
DOI: 10.1016/j.energy.2022.125939
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Understanding multi-scale spatiotemporal energy consumption data: A visual analysis approach

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Cited by 8 publications
(3 citation statements)
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“…Bibliometric analysis has emerged as a vital tool for conducting global investigations and analyses in various scientific disciplines. Mathematical and statistical methods have been extensively employed to examine a large body of literature and research trends [10] . The Web of Science (WOS) function is commonly employed to provide an overview of the key characteristics of the aforementioned qualified articles [11] .…”
Section: Bibliometric Analysismentioning
confidence: 99%
“…Bibliometric analysis has emerged as a vital tool for conducting global investigations and analyses in various scientific disciplines. Mathematical and statistical methods have been extensively employed to examine a large body of literature and research trends [10] . The Web of Science (WOS) function is commonly employed to provide an overview of the key characteristics of the aforementioned qualified articles [11] .…”
Section: Bibliometric Analysismentioning
confidence: 99%
“…In order to identify the most suitable cluster validation indices (CVIs) for a particular dataset, Jain et al [20] examined the impact of different CVIs on a typical residential load demand dataset, as well as the features of the data that preferred or prohibited the use of certain CVIs. Finally, Niu et al [21,22] proposed a novel spatiotemporal clustering method that allows users to interactively identify different customer groups and their characteristics through a visual analysis approach, improving the usability of clustering analysis techniques.…”
Section: Clustering Approach In Smart Meter Datamentioning
confidence: 99%
“…Bibliometric analysis has become an important tool for global analysis and surveys in various scientific fields, and analyzes a large amount of literature or research trends using mathematical and statistical methods [13]. WOS features have been used to describe the essential characteristics of the above qualified articles [14].…”
Section: Bibliometric Analysismentioning
confidence: 99%