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1 Ergebnisse
1
LSTM-Based Method for Electric Consumption Outlier Detectio:
, In:
2021 IEEE Sustainable Power and Energy Conference (iSPEC)
,
Zihan, Wang
;
Enze, Shao
;
Can, Wang
... - p. 3955-3959 , 2021
Link:
https://doi.org/10.1109/iSPEC53008.2021.9735594
RT T1 <cTitle>2021 IEEE Sustainable Power and Energy Conference (iSPEC)</cTitle>: T1 <Title>LSTM-Based Method for Electric Consumption Outlier Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9735594&Exemplar=1&LAN=DE A1 Zihan, Wang A1 Enze, Shao A1 Can, Wang A1 Xiao, Xu A1 Xianbo, Du A1 Chunlin, Zhong A1 Lei, Zou A1 GuoLin, Chen A1 Chao, Fang YR 2021 K1 Analytical models K1 Power demand K1 Conferences K1 Time series analysis K1 Memory management K1 Clustering algorithms K1 Feature extraction K1 electricity consumption data K1 time series features K1 data anomaly detection K1 long-short term memory network K1 density peaks SP 3955 OP 3959 LK http://dx.doi.org/https://doi.org/10.1109/iSPEC53008.2021.9735594 DO https://doi.org/10.1109/iSPEC53008.2021.9735594 SF ELIB - SuUB Bremen
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