S. Mirasgedis, Y. Sarafidis, E. Georgopoulou, D. P. Lalas, M. Moschovits, F. Karagiannis and D. Papakonstantinou, “Models for Mid-Term Electricity Demand Forecasting Incorporating Weather Influences,” Energy, Vol. 31, 2006, pp. 208-227. doi: 10.1016/j.energy.2005.02.016

has been cited by the following article:

• TITLE: Seasonal Regression Models for Electricity Consumption Characteristics Analysis

  AUTHORS: Yusri Syam Akil, Hajime Miyauchi

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

  JOURNAL NAME: Engineering, Vol.5 No.1B, January 15, 2013

  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.