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Machine Learning Based Appliance Identification

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Non-intrusive Load Monitoring
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Abstract

The machine learning based appliance identification methods are reviewed. The application of three typical machine learning based appliance identification methods are introduced. Several experiments are carried out to evaluate the real performance of the appliance identification models based on the extreme learning machine, the support vector machine, and the random forest.

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Correspondence to Hui Liu .

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Liu, H. (2020). Machine Learning Based Appliance Identification. In: Non-intrusive Load Monitoring. Springer, Singapore. https://doi.org/10.1007/978-981-15-1860-7_6

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  • DOI: https://doi.org/10.1007/978-981-15-1860-7_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1859-1

  • Online ISBN: 978-981-15-1860-7

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