Natural gas consumption forecasting for anomaly detection

作者：

Highlights：

• An in-depth domain analysis is reported to derive reasonable modelling assumptions.

• We propose two original forecasting techniques for detecting anomalous gas flows.

• We developed an advanced approach to model the user behaviour to detect HDD.

• All the tests have been carried out on real data provided by a gas provider company.

摘要

•An in-depth domain analysis is reported to derive reasonable modelling assumptions.•We propose two original forecasting techniques for detecting anomalous gas flows.•We developed an advanced approach to model the user behaviour to detect HDD.•All the tests have been carried out on real data provided by a gas provider company.

论文关键词：Anomaly detection,Linear regression,Local regression,Gas flow forecast

论文评审过程：Received 27 January 2016, Revised 8 June 2016, Accepted 8 June 2016, Available online 16 June 2016, Version of Record 23 June 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.06.013