Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82926
Title: Unsupervised approach for load disaggregation with devices interactions
Authors: Aiad, Misbah
Lee, Peng Hin
Keywords: Non-intrusive appliance load monitoring
Energy disaggregation
Devices interactions
Factorial Hidden Markov Models
Viterbi algorithm
Issue Date: 2016
Source: Aiad, M., & Lee, P. H. (2016). Unsupervised approach for load disaggregation with devices interactions. Energy and Buildings, 116, 96-103.
Series/Report no.: Energy and Buildings
Abstract: Energy savings is one of the hottest issues and concerns nowadays due to high oil prices and global warming as a result of CO2 emissions. Non-intrusive appliances load monitoring (NIALM) is a methodology that aim to breakdown the total power consumption measured by the smart meter in each household into the power consumed by the individual appliances. These detailed information on individual appliances consumptions can influence the users to follow better energy usage profiles so as to achieve energy savings. We introduce a novel energy disaggregation model that consider mutual devices interactions and embed the information on devices interactions into the Factorial Hidden Markov Models (FHMM) representations of the aggregated data. The hidden states in the FHMM were inferred by means of the Viterbi algorithm. Devices interactions is a power quality issue that affects the measured power consumed by a device when there are other devices connected to the network. We tested our model using 16 a selected house from the REDD public data set. Our proposed approach showed enhanced results when compared with the standard FHMM. Devices interactions, when observed, enabled us to disaggregate and assign energy consumption for individual devices more accurately
URI: https://hdl.handle.net/10356/82926
http://hdl.handle.net/10220/40353
ISSN: 0378-7788
DOI: 10.1016/j.enbuild.2015.12.043
Rights: © 2016 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Energy and Buildings, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.enbuild.2015.12.043].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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