Titlebook: Non-intrusive Load Monitoring; Theory, Technologies Hui Liu Book 2020 Science Press and Springer Nature Singapore Pte Ltd. 2020 Non-intrusi

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Hidden Markov Models Based Appliance,This chapter first gives an introduction of the hidden Markov models based appliance identification. Then the performance of the factorial hidden Markov models and hidden semi-Markov models are investigated.

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Deep Learning Based Appliance Identification,The deep learning based appliance identification researches are reviewed, different schemes of deep learning application are investigated, and then several experiments are carried out to give comprehensive evaluations of deep learning based appliance identification methods.

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Interval Prediction of Electric Load Time Series,The interval prediction of electric load time series are reviewed, the application of two typical interval methods are introduced. Several experiments are carried out to evaluate the real performance of the quantile regression based models and the Gaussian process regression based models.

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Book 2020atest strengths on the non-intrusive load monitoring techniques for engineers and managers of relevant departments. It also offers extensive information and a source of inspiration for researchers and students, while outlining future research directions..

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