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- W2900568854 abstract "The paper presents the application of the Wavelet Transform (WT) analysis to identify electrical appliances operating in the end-user household. The generic approach to the non-intrusive devices identification, i.e. using aggregated current and voltage signals is described. Next, the novel approach to extract features from the signals using WT coefficients is introduced. This allows for monitoring the appliance in the transient state, during the on-off event or while changing its mode (in the multi-state devices). This approach may replace or support the traditional steady-state analysis. Features extracted during switching the specific appliance in the laboratory conditions are then used to train the artificial intelligence-based classifier. It is further responsible for identifying the devices in the on-line mode. As the classifier, the random forest was applied. Its evaluation on the available data proves the usefulness of the proposed approach." @default.
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- W2900568854 date "2018-08-01" @default.
- W2900568854 modified "2023-09-26" @default.
- W2900568854 title "Non-intrusive electrical appliances identification using Wavelet Transform analysis" @default.
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- W2900568854 doi "https://doi.org/10.1088/1742-6596/1065/5/052021" @default.
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