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Updated: Jun 8, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

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通过采样转移和基于模糊规则的技术改进了非侵入性负载识别.

Imran Islam1, Pallav Dutta1, Rumpa Saha1

  • 1Electrical Engineering Department, Aliah University, Action Area IIA/27, New Town, Kolkata 700 160, India.

ISA transactions
|November 4, 2024
PubMed
概括

本研究引入了一种使用样本转移技术 (SST) 和模糊逻辑的非侵入性负载识别 (NILI) 的新方法. 该方法可以准确地识别单个和多个设备,即使在噪音较大且计算负载较低的环境中.

关键词:
家庭用电器 家用电器模糊的规则就是模糊的规则.负载识别 负载识别非侵入性负载监控 (NILM) 是一种非侵入性负载监控.反应功率的反应功率.样本转移技术 (SST) 是一种总波扭曲 (THD) 是指总的波扭曲.

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