DocumentCode :
174865
Title :
Realistic User Behavior Modeling for Energy Saving in Residential Buildings
Author :
Martinez-Gil, Jorge ; Chasparis, Georgios ; Freudenthaler, Bernhard ; Natschlaeger, Thomas
Author_Institution :
Software Competence Center Hagenberg GmbH, Hagenberg, Austria
fYear :
2014
fDate :
1-5 Sept. 2014
Firstpage :
121
Lastpage :
125
Abstract :
Due to the high costs of live research, performance simulation has become a widely accepted method of assessment for the quality of proposed solutions in this field. Additionally, being able to simulate the behavior of the future occupants of a residential building can be very useful since it can support both design-time and run-time decisions leading to reduced energy consumption through, e.g., the design of model predictive controllers that incorporate user behavior predictions. In this work, we provide a framework for simulating user behavior in residential buildings. In fact, we are interested in how to deal with all user behavior aspects so that these computer simulations can provide a realistic framework for testing alternative policies for energy saving.
Keywords :
behavioural sciences computing; building management systems; power consumption; power engineering computing; behavior simulation; computer simulations; design-time decision; energy consumption reduction; energy saving; model predictive controller design; realistic user behavior modeling; residential buildings; run-time decision; user behavior predictions; Buildings; Computational modeling; Energy consumption; Heating; Meteorology; Predictive models; energy consumption; energy saving; user behavior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2014 25th International Workshop on
Conference_Location :
Munich
ISSN :
1529-4188
Print_ISBN :
978-1-4799-5721-7
Type :
conf
DOI :
10.1109/DEXA.2014.38
Filename :
6974837
Link To Document :
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