IEEE - Institute of Electrical and Electronics Engineers, Inc. - Short-term anomaly detection in gas consumption through ARIMA and Artificial Neural Network forecast

2015 IEEE Workshop on Environmental, Energy and Structural Monitoring Systems (EESMS)

Author(s): Marco De Nadai ; Maarten van Someren
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2015
Conference Location: Trento, Italy
Conference Date: 9 July 2015
Page(s): 250 - 255
ISBN (CD): 978-1-4799-8214-1
ISBN (Electronic): 978-1-4799-8215-8
DOI: 10.1109/EESMS.2015.7175886
Regular:

This paper presents a method for finding anomalies in gas consumption that can identify causes of wasting energy. Our approach is to use historical data on local weather, building usage and gas... View More

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