DocumentCode :
640601
Title :
Modeling User Behavior through Electricity Consumption Patterns
Author :
Martinez-Gil, Jorge ; Freudenthaler, Bernhard ; Natschlaeger, Thomas
Author_Institution :
Software Competence Center Hagenberg, Hagenberg, Austria
fYear :
2013
fDate :
26-30 Aug. 2013
Firstpage :
204
Lastpage :
208
Abstract :
Reducing energy consumption in buildings of all kinds is a key challenge for researchers since it can help to notably reduce the waste of energy and its associated costs. However, when dealing with residential environments, there is a major problem, people comfort should not be altered, so it is necessary to look for smart methods which take into account this circumstance. Traditional techniques have not considered the study of human behavior when providing solutions in this field, but new human-centric paradigms are emerging gradually. We present our research on user behavior concerning electricity consumption in office buildings and residential environments. Our goal consists of inspiring practitioners in this field for developing new human-aware solutions.
Keywords :
behavioural sciences computing; building management systems; pattern classification; power consumption; radial basis function networks; statistical analysis; RBF network; electricity consumption patterns; energy consumption reduction; energy waste reduction; human behavior study; human-aware solutions; human-centric paradigms; office buildings; radial basis function network; residential environments; smart methods; statistical classifiers; user behavior modelling; Accuracy; Buildings; Cameras; Companies; Electricity; Energy consumption; Training; electricity consumption; smart metering; user behavior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2013 24th International Workshop on
Conference_Location :
Los Alamitos, CA
ISSN :
1529-4188
Print_ISBN :
978-0-7695-5070-1
Type :
conf
DOI :
10.1109/DEXA.2013.44
Filename :
6621372
Link To Document :
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