DocumentCode :
3160475
Title :
Nonintrusive appliance load monitoring based on integer programming
Author :
Suzuki, Kosuke ; Inagaki, Shinkichi ; Suzuki, Tatsuya ; Nakamura, Hisahide ; Ito, Koichi
Author_Institution :
Dept. of Mech. Sci. & Eng., Nagoya Univ., Nagoya
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
2742
Lastpage :
2747
Abstract :
This paper presents a new nonintrusive appliance load monitoring technique based on the integer programming. Nonintrusive appliance load monitoring is a problem to identify the operating conditions of the electric appliances in a house only by observing the overall load current and voltage. Since the overall load current is expressed as a superposition of each current of the operating appliance, the monitoring problem can be formulated as an integer quadratic programming problem by expressing the operating conditions as integer variables. This problem is solvable with sufficiently small computational burden thanks to the recent development of the commercial software. The proposed method does not require the relearning even when a new appliance is installed in the house. Furthermore, the proposed formulation is applicable to cases that some appliance has multiple modes, and cases that some same-type appliances operate simultaneously. Usefulness of the proposed technique is verified through some experimental results.
Keywords :
domestic appliances; integer programming; load regulation; power system measurement; quadratic programming; electric appliances; integer programming; integer quadratic programming; load voltage; nonintrusive appliance load monitoring; overall load current; Condition monitoring; Costs; Electronic mail; Hidden Markov models; Home appliances; Linear programming; Neural networks; Quadratic programming; Quantum computing; Voltage; Electric appliance; Integer programming; Nonintrusive load monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
Type :
conf
DOI :
10.1109/SICE.2008.4655131
Filename :
4655131
Link To Document :
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