DocumentCode :
2485248
Title :
Study on Power Energy Consumption Model for Large-Scale Public Building
Author :
Ma, Yuan ; Yu, Jun-Qi ; Yang, Chuang-Ye ; Wang, Lei
Author_Institution :
Sch. of Inf. & Control Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
fYear :
2010
fDate :
22-23 May 2010
Firstpage :
1
Lastpage :
4
Abstract :
Through the analysis of the relevant power energy consumption factors of the large-scale public buildings, the integrated model based on multiple linear regression and self-regression methods is attained, of which the least square algorithm is chosen to make parameters estimation. -test and -test are applied to verify its availability. After power consumption data of large-scale public buildings acquired in Xi´an city, Simulation process is operated by Matlab software. The result reveals that the model above has high accuracy to describe and predict trend of power consumption in the large-scale public buildings quantitatively, meanwhile, it provides an essential part to future energy saving management system.
Keywords :
building management systems; least squares approximations; parameter estimation; power consumption; regression analysis; Matlab software; energy saving management system; large-scale public building; least square algorithm; multiple linear regression; parameters estimation; power energy consumption model; self- regression methods; Algorithm design and analysis; Availability; Cities and towns; Energy consumption; Large scale integration; Large-scale systems; Least squares approximation; Linear regression; Mathematical model; Parameter estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
Type :
conf
DOI :
10.1109/IWISA.2010.5473608
Filename :
5473608
Link To Document :
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