An unsupervised training method for non-intrusive appliance load monitoring

Oliver Parson; Siddhartha Ghosh; Mark Weal; Alex Rogers

doi:10.1016/j.artint.2014.07.010

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An unsupervised training method for non-intrusive appliance load monitoring

Oliver Parson Siddhartha Ghosh Mark Weal Alex Rogers

Year: 2014 Journal: Artificial Intelligence Vol: 217 Pages: 1-19 Publisher: Elsevier BV

DOI: 10.1016/j.artint.2014.07.010

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Keywords:

Aggregate (composite) Computer science Metering mode Probabilistic logic Process (computing) Set (abstract data type) Machine learning Unsupervised learning Labeled data Artificial intelligence Data set Training set Aggregate data Data mining Engineering Statistics

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Topics

Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Energy Efficiency and Management

Physical Sciences → Energy → Renewable Energy, Sustainability and the Environment

Building Energy and Comfort Optimization

Physical Sciences → Engineering → Building and Construction

An unsupervised training method for non-intrusive appliance load monitoring

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Citation History

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