Building Energy Use Prediction Using Time Series Analysis
Ruijin Zhou, Yiqun Pan, Zhizhong Huang, Qiujian Wang
Abstract
Ruijin Zhou, Yiqun Pan, Zhizhong Huang, Qiujian Wang
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.
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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.
Key concepts: Energy consumption, Computer science, Time series, Series (stratigraphy), Energy (signal processing), Data modeling, Consumption (sociology), Building management system