한국인터넷방송통신학회논문지 (The Journal of the Institute of Internet, Broadcasting and Communication)

  • 제17권2호
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  • Pages.199-204
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  • 2017
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  • 2289-0238(pISSN)
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  • 2289-0246(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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복합 센서 데이터 처리 알고리즘을 이용한 비접촉 가전 기기 식별 알고리즘 연구

A Study of Non-Intrusive Appliance Load Identification Algorithm using Complex Sensor Data Processing Algorithm

  • 투고 : 2017.02.14
  • 심사 : 2017.04.07
  • 발행 : 2017.04.30
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초록

본 연구는 가정 내에서 사용하는 가전 기기의 사용 에너지를 효율적으로 관리하기 위한 비접촉 가전 기기 식별 기법을 제시한다. 제안하는 기법은 총 전력 사용량 정보를 이용한 기존의 가전 기기 식별 기법을 개선하기 위해서 복합 센서 정보를 종합적으로 활용한다. 이를 위해서 기기 상태와 측정된 센서 값 간의 영향도를 그래프 형태로 정의한다. 기기 상태에 영향을 미치는 복합 센서를 표현하는 영향도 그래프를 통해 기기 식별 예측 결과를 계산하기 위해 총 전력 사용량 기반 예측값과 센서 데이터 처리 알고리즘 예측값의 가중치 합을 사용한다. 시뮬레이션 실험을 통한 성능 분석으로 기존 비접촉 가전 기기 식별 기법의 기기 식별 정확도와 비교한다.

In this study, we present a home appliance load identification algorithm. The algorithm utilizes complex sensory data in order to improve the existing NIALM using total power usage information. We define the influence graph between the appliance status and the measured sensor data. The device identification prediction result is calculated as the weighted sum of the predicted value of the sensor data processing algorithm and the predicted value based on the total power usage. We evaluate proposed algorithm to compare appliance identification accuracy with the existing NIALM algorithm.

키워드

참고문헌

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피인용 문헌

  1. The Nonintrusive Appliance Load Monitoring using Real and Reactive Powers vol.20, pp.1, 2019, https://doi.org/10.9728/dcs.2019.20.1.189