Electricity Consumption Analysis Using Demographic Variables Case Study – Nakhonratchasima, Thailand

Abstract:

Electricity energy is vital in social and economic for nation development. The electricity consumption analysis plays an important role for sustainable energy and electricity resources management in the future. In this paper, the influence of demographical variables on the annual electricity consumption in Nakhonratchasima has been investigated by multiple regression analysis. It is founded that the electricity consumption correlated with four demographic variables, which are the number of electricity consumers, the amount of high speed diesel usages, the number of industrial factory and the number of employed labor force. The historical electricity consumption and all variables for the period 20022010 have been analyzed in 8 models for electricity prediction in 2011. In conclusion, the effective model has been selected by comparison of adjusted R², mean absolute error (MAE) and root mean squared error (RMSE) of the proposed models. Model 8 is acceptable in relation to electricity consumption analysis with adjusted-R², RMSE and MAE equal to 0.9980, 0.7540% and 0.6095% respectively. The results indicate that the model using all four variables has strong ability to predict future annual electricity consumption with 4,195,837,877 kWh in 2011.

• Periodical: Advanced Materials Research (Volumes 734-737)
• Pages: 1679-1682
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.734-737.1679
• Online since: August 2013
• Authors: Sureeporn Meehom*, Nopphadon Khodpun
• Keywords: Demographic Variables, Electricity Consumption, Forecasting, Multiple Regression, Thailand

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