Title :
Building Energy Use Prediction Using Time Series Analysis
Author :
Zhou Ruijin ; Pan Yiqun ; Huang Zhizhong ; Wang Qiujian
Author_Institution :
CISDI R&D Co., Ltd., Chongqing, China
Abstract :
This paper proposes a data-driven modeling method for building energy consumption prediction and applies it to two actual commercial buildings. Time series analysis is adopted as a main methodology to produce the data-driven model based on monthly actual energy consumption data. The models can be used to predict building future energy consumption, after being modified and verified.
Keywords :
building management systems; energy consumption; energy management systems; power engineering computing; time series; building energy use prediction; building future energy consumption prediction; commercial buildings; data-driven modeling; monthly actual energy consumption data; time series analysis; Buildings; Electricity; Energy consumption; Equations; Mathematical model; Predictive models; Time series analysis; Combined Model; Energy Consumption Prediction; Time Series;
Conference_Titel :
Service-Oriented Computing and Applications (SOCA), 2013 IEEE 6th International Conference on
Conference_Location :
Koloa, HI
Print_ISBN :
978-1-4799-2701-2
DOI :
10.1109/SOCA.2013.14
