Seasonal Regression Models for Electricity Consumption Characteristics Analysis

Yusri Syam Akil, Hajime Miyauchi

Department of Frontier Technology for Energy and Devices, Kumamoto University, Kumamoto, Japan.
Department of Frontier Technology for Energy and Devices, Kumamoto University, Kumamoto, Japan; Department of Electrical Engineering, Hasanuddin University, Makassar, Indonesia.

DOI: 10.4236/eng.2013.51B020                

Abstract

This paper presents seasonal regression models of demand to investigate electricity consumption characteristics. Electricity consumption in commercial areas in Japan is analyzed by using meteorological variables, namely temperature and relative humidity. A dummy variable for holidays is also considered. We have developed models for two levels of period to analyze demand characteristics, that is, half year models and seasonal models. Some options for each model are calculated and validated by statistical tests to obtain better models. As results, half year and seasonal models present explicit information about how the variables affect the demand differently for each period. These specific information help in analyzing characteristics of studied commercial demand.

 

Keywords

Commercial Area; Demand Characteristics; Regression Model; Seasons; Relative Humidity; Temperature

Conflicts of Interest

The authors declare no conflicts of interest.

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