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Published in:
2013 | OriginalPaper | Chapter
Non-intrusive Identification of Electrical Appliances
Authors : Aqeel H. Kazmi, Michael J. O’Grady, Gregory M. P. O’Hare
Published in: Evolving Ambient Intelligence
Publisher: Springer International Publishing
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The aim of reducing greenhouse gases and increasing energy efficiency faces a number of challenges to date. A significant portion of overall energy expenditure in residential and commercial sectors is considered as wastage. Finding technological methods in order to reduce wastage has been the main focus of researchers in recent years. Non-Intrusive Load Monitoring (NILM) is perceived as a cost-effective approach to monitor appliance level energy consumption in a building. However, this approach still faces a number of problems that need to be addressed. In this study, we propose an approach by which uncertainty of appliance’s identification that have similar signatures, is addressed. Unlike other approaches, our approach uses occupant’s behavioural information to aid appliance disaggregation algorithms. We also demonstrate our technique through experimentation in a household.