LSTM-Based Analysis of Industrial IoT Equipment

IEEE Access

Volumn 6, Issue , 2018, Pages 23551-23560

  Zhang, Weishan ^a   Guo, Wuwu ^a   Liu, Xin ^a   Liu, Yan ^b   Zhou, Jiehan ^c   Li, Bo ^a   Lu, Qinghua ^a   Yang, Su ^d  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

^b Dept of Electrical and Computer Engineering   (Canada)

^c UNIVERSITY OF OULU   (Finland)

^d FUDAN UNIVERSITY   (China)

Author keywords

industry Internet of Things; LSTM model; power equipment; Time series prediction

Indexed keywords

DATA STRUCTURES; DEEP NEURAL NETWORKS; FORECASTING; INTERNET OF THINGS; MEAN SQUARE ERROR; MONITORING; POWER GENERATION; SEARCH ENGINES; SENSORS; TIME SERIES ANALYSIS;

INDUSTRIAL INTERNETS; NEURAL NETWORK MODEL; POWER EQUIPMENT; PREDICTION ACCURACY; PREDICTIVE MODELS; ROOT MEAN SQUARE ERRORS; SYSTEMATIC FEATURES; TIME SERIES PREDICTION;

LONG SHORT-TERM MEMORY;

EID: 85045320757     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2018.2825538     Document Type: Article

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