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Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods
Abstract: Clustering multivariate time-series data is crucial for uncovering complex temporal patterns in dynamic environments, such as building indoor conditions and behavior where variables like ...
Abstract: The accuracy of the data-driven dynamic security assessment (DSA) of power systems considering fault locations is closely related to the system scale. The dynamic security assessment of the ...
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