Probabilistic anomaly detection in natural gas time series data

This paper introduces a probabilistic approach to anomaly detection, specifically in natural gas time series data. In the natural gas field, there are various types of anomalies, each of which is induced by a range of causes and sources. The causes of a set of anomalies are examined and categorized,...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	International journal of forecasting 2016-07, Vol.32 (3), p.948-956
Hauptverfasser:	Akouemo, Hermine N., Povinelli, Richard J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Bayesian classifier Data cleaning Energy Gaussian mixture models Linear regression Maximum likelihood method Natural gas Natural gas industry Outlier detection Regression analysis Studies Time series
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!