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