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

誓言

過分自信

Hui Liudigm, and the integration of TH17 cells with TH1 and TH2 effector T cells is beginning to explain the underlying mechanisms of tissue inflammation in a number of infections and auto-immune disease settings.”- From Chapter One by Vijay K. Kuchroo, Harvard University, USA“The recently identified Inter

構(gòu)成

lobster

CHART

Appliance Identification Based on Template Matching,ree typical template matching based appliance identification methods are introduced. Several experiments are carried out to evaluate the real performance of the appliance identification models based on the decision tree, KNN algorithm and Dynamic Time Warping (DTW) algorithm.

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ALOFT

Deterministic Prediction of Electric Load Time Series,of the Autoregressive Integrated Moving Average (ARIMA) based models and the Elman neural network based models are investigated. Several experiments are carried out to give comprehensive evaluations of different forecasting models.

SOBER

HARD

Detection of Transient Events in Time Series,This chapter first gives an introduction of the current researches of event detection, and then three typical event detection algorithms including Cumulative Sum (CUSUM) based transient event detection algorithm, the generalized likelihood ratio, and the Sequential Probability Ratio Test (SPRT) are investigated.

Cantankerous

Appliance Signature Extraction,This chapter first gives an introduction of the current researches of appliance signature extraction, and then several experiments are carried out to give comprehensive evaluations of different features.