Dec 11, 2014 · This paper introduces a novel finite-state-machine (FSM) representation of long-term load operating waveforms for feature extraction and ...
Oct 22, 2024 · This paper introduces a novel finite-state-machine (FSM) representation of long-term load operating waveforms for feature extraction and ...
This paper aims at filling this gap by proposing a novel representation of long-term raw current waveforms to extract features for load identification. The ...
This paper proposes a load identification construction method using RGB color coding for feature fusion, and implements load identification by improving R-FCN.
Feb 9, 2024 · This allows feature extraction for unknown loads to be performed using a frozen parameter layer. By adopting this approach, the load ...
Aug 20, 2024 · This paper proposes a novel method of residential load identification based on load feature matrix and improved neural networks.
This paper proposes a non-intrusive load identification method using Densely-connected Bi-directional Long Short-Term Memory (DB-LSTM) with Kernel Principal ...
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May 1, 2024 · This paper proposes an adaptive event detection method based on the PCW (power change-point weights) model.
This paper introduces a novel finite-state-machine (FSM) representation of long-term load operating waveforms for feature extraction and load identification ...
Machine learning algorithms use features associated with the original ASR waveforms to build models to classify ASR waveforms startle or non-startle. Features ...