Abstract: Accurately clustering and labeling anomalous time series load data from large databases remains challenging due to close similarity and subtle deviations between each observation. This paper ...
Trying to keep this short. Company A is a parent. Company B is the 100% subsidiary. The group needs an audit. Company A year end is 30th June 2025. Company B year end is 30th December 2024 as a good ...
Abstract: Load identification is a fundamental aspect of non-intrusive load monitoring (NILM), which seeks to discern the operational condition of individual electrical devices from aggregated power ...
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