Novel Fractal-Based Features for Low-Power Appliances in Non-Intrusive Load Monitoring  

作　　者：Anam Mughees Muhammad Kamran 

机构地区：[1]Department of Electrical Engineering,University of Engineering and Technology(UET),Lahore,54890,Pakistan [2]Department of Electrical Engineering,Government College University,Faisalabad,38000,Pakistan [3]Department of Electrical Engineering and Technology,Muhammad Nawaz Sharif University of Engineering&Technology(MNS UET),Multan,60000,Pakistan

出　　处：《Computers, Materials & Continua》2024年第7期507-526,共20页计算机、材料和连续体（英文）

摘　　要：Non-intrusive load monitoring is a method that disaggregates the overall energy consumption of a building to estimate the electric power usage and operating status of each appliance individually.Prior studies have mostly concentrated on the identification of high-power appliances like HVAC systems while overlooking the existence of low-power appliances.Low-power consumer appliances have comparable power consumption patterns,which can complicate the detection task and can be mistaken as noise.This research tackles the problem of classification of low-power appliances and uses turn-on current transients to extract novel features and develop unique appliance signatures.A hybrid feature extraction method based on mono-fractal and multi-fractal analysis is proposed for identifying low-power appliances.Fractal dimension,Hurst exponent,multifractal spectrum and the Hölder exponents of switching current transient signals are extracted to develop various‘turn-on’appliance signatures for classification.Four classifiers,i.e.,deep neural network,support vector machine,decision trees,and K-nearest neighbours have been optimized using Bayesian optimization and trained using the extracted features.The simulated results showed that the proposed method consistently outperforms state-of-the-art feature extraction methods across all optimized classifiers,achieving an accuracy of up to 96%in classifying low-power appliances.

关 键 词：Nonintrusive load monitoring multi-fractal analysis appliance classification switching transients 

分 类 号：O17[理学—数学]