Design a Neural Network for Features Selection in Non-intrusive Monitoring of Industrial Electrical Loads


This paper proposes to compare the performance of neural network classifiers between back propagation (BP) and learning vector quantization (LVQ) for pattern analyses of features selection in a non-intrusive load monitoring (NILM) system. Load recognition for identifying loads being connected and disconnected is applied to a NILM by using a neural network… (More)
DOI: 10.1109/CSCWD.2007.4281579


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Citations per Year

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