Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier

Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier

<p dir="ltr">Non-intrusive load monitoring (NILM) is a key cost-effective technology for monitoring power consumption and contributing to several challenges encountered when transiting to an efficient, sustainable, and competitive energy efficiency environment. This paper proposes a...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yassine Himeur (14158821) (author)
مؤلفون آخرون:	Abdullah Alsalemi (6951986) (author), Faycal Bensaali (12427401) (author), Abbes Amira (6952001) (author)
منشور في:	2021
الموضوعات:	Engineering Electrical engineering Electronics, sensors and digital hardware Environmental engineering Non-intrusive load monitoring Appliance identification 2D representation Local power histograms Feature extraction Improved k-nearest neighbors
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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