A Novel Method to Construct Taxonomy Electrical Appliances Based on Load Signaturesof

By H. Lam, G. Fung, W.K. Lee. IEEE transactions on consumer electronics, 2007

332 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/63314d68fc438489e71de5c6d7e90daebddc446f

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In Electrical and Electronic Engineering

Citations in the corpus

Smart meter privacy using a rechargeable battery: Minimizing the rate of information leakage (2011, methodology): “The utility company could employ data mining algorithms to analyze a household’s load data and, thus, discover the appliances and usage patterns of the inhabitants [4, 5, 6].”
I Have a DREAM! (DiffeRentially privatE smArt Metering) (2011, background): “Researchers are now focusing on the myriad of small electric devices around the home such as personal computers, laser printers, and light bulbs [18].”
Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey (2012, methodology): “In [40,41] the author proposed a novel method of using V-I 270 trajectory to categorize a group of appliances.”
Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures (2010, background): “There is a rich and ongoing line of research in the construction and upkeep of NALM algorithms, providing means to identify appliance usage even when multiple household power signatures are aggregated [9], [10].”
Two Is Not Enough: Privacy Assessment of Aggregation Schemes in Smart Metering (2017, methodology): “More frequent reports enable NALM algorithms to work with higher accuracy and extract more information.”
Nonintrusive appliance load monitoring: Review and outlook (2011, methodology): “[33] have never offered a working algorithm for NIALM based on these features.”
Broadening the Scope of Differential Privacy Using Metrics (2013, background): “4(a) represents the energy consumption of the ﬁrst 5 minutes of Star Trek 11 [15].”
Smart Grid Privacy via Anonymization of Smart Metering Data (2010, background): “There is an active line of research in the construction and upkeep of appliance libraries and detection algorithms; see, for example, [7].”
Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities (2011, background): “Since the original work [57] there has been a wealth of research in the construction and upkeep of appliance libraries and detection algorithms [58].”
Load Signature Study—Part I: Basic Concept, Structure, and Methodology (2010, methodology): “Singular value decomposition (SVD) is used to extract the principle component of the current envelope waveform [ 12 ].”
Private memoirs of a smart meter (2010, background): “Similarly, Lam et al. [ 16 ] classify appliances based on fine-grained load signatures.”
Fault-Tolerant Privacy-Preserving Statistics (2012, background): “” [15] focuses on detecting and characterizing different appliances according to load signatures.”