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Volumn , Issue , 2016, Pages 310-313

A Distributed Anomaly Detection Method of Operation Energy Consumption Using Smart Meter Data

Author keywords

anomaly detection; deep learning; IOT; operation consumption; smart meter; stacked sparse autoencoder

Indexed keywords

ENERGY UTILIZATION; INTERNET OF THINGS; LEARNING SYSTEMS; MULTIMEDIA SIGNAL PROCESSING; SIGNAL DETECTION; SIGNAL PROCESSING;

EID: 84963838206     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IIH-MSP.2015.38     Document Type: Conference Paper
Times cited : (36)

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    • Power consumption profiling using energy time-frequency distributions in smart grids
    • A. K. Marnerides, P. Smith, A. Schaeffer-Filho, and A. Mauthe, "Power consumption profiling using energy time-frequency distributions in smart grids, " IEEE Communications Letters, vol. 19, no. 1, pp. 46-49, 2015.
    • (2015) IEEE Communications Letters , vol.19 , Issue.1 , pp. 46-49
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.