Seasonal Regression Models for Electricity Consumption Characteristics Analysis

Abstract

<span>This paper presents seasonal regression models of demand to </span><span>investigate </span><span>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. </span><span>We</span><span> </span><span>have </span><span>developed model</span><span>s</span><span> </span><span>for two </span><span>levels </span><span>of period</span><span> to analyze demand characteristics, </span><span>that is,</span><span> 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 </span><span>analyzing</span><span> characteristics o</span><span>f</span><span> studied commercial demand.</span> <p> </p

Seasonal Peak Electricity Demand Characteristics: Japan Case Study

“…As a basis in composing and also comparing for peak demand models, demand model for each season [10] is initially constructed. Each seasonal model is referred as all-demand-time (ADT) model.…”

“…The investigation involves daytime and evening peaks for four different seasons in Japan. Seasonal demand models [10] are used as a basis to compose hourly peak demand regression models. From this, direct link between peak load and key variables in each season is recognized.…”