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Title: System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads

Abstract

A method identifies electric load types of a plurality of different electric loads. The method includes providing a load feature database of a plurality of different electric load types, each of the different electric load types including a first load feature vector having at least four different load features; sensing a voltage signal and a current signal for each of the different electric loads; determining a second load feature vector comprising at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by determining a minimum distance of the second load feature vector to the first load feature vector of the different electric load types of the load feature database.

Inventors:
; ; ; ;
Publication Date:
Research Org.:
Eaton Corporation, Cleveland, OH (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1166009
Patent Number(s):
8,918,346
Application Number:
13/304,834
Assignee:
Eaton Corporation (Cleveland, OH)
DOE Contract Number:  
EE0003911
Resource Type:
Patent
Resource Relation:
Patent File Date: 2011 Nov 28
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 29 ENERGY PLANNING, POLICY, AND ECONOMY

Citation Formats

Lu, Bin, Yang, Yi, Sharma, Santosh K, Zambare, Prachi, and Madane, Mayura A. System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads. United States: N. p., 2014. Web.
Lu, Bin, Yang, Yi, Sharma, Santosh K, Zambare, Prachi, & Madane, Mayura A. System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads. United States.
Lu, Bin, Yang, Yi, Sharma, Santosh K, Zambare, Prachi, and Madane, Mayura A. Tue . "System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads". United States. https://www.osti.gov/servlets/purl/1166009.
@article{osti_1166009,
title = {System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads},
author = {Lu, Bin and Yang, Yi and Sharma, Santosh K and Zambare, Prachi and Madane, Mayura A},
abstractNote = {A method identifies electric load types of a plurality of different electric loads. The method includes providing a load feature database of a plurality of different electric load types, each of the different electric load types including a first load feature vector having at least four different load features; sensing a voltage signal and a current signal for each of the different electric loads; determining a second load feature vector comprising at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by determining a minimum distance of the second load feature vector to the first load feature vector of the different electric load types of the load feature database.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {12}
}

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