Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings

Article ID	Journal	Published Year	Pages	File Type
8071228	Energy	2018	49 Pages	PDF

Abstract

The process can be used to support stakeholders in characterising building behaviour, to define appropriate energy management strategies, and to send timely alerts based on anomaly detection outcomes.

Keywords

Anomaly detection Data mining Smart buildings Building energy management Energy consumption

Related Topics

Physical Sciences and Engineering Energy Energy (General)

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Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings

Authors

Alfonso Capozzoli, Marco Savino Piscitelli, Silvio Brandi, Daniele Grassi, Gianfranco Chicco,