Abstract

Recently, there are many factors affecting electricity demand in different ways. The relation between electricity demand and economic, demographic, increasing new consumer connection, technological, climate, and government policies on electricity price, etc. This study aimed to identify the main factors that affect electricity demand and observed which factors had more relation affecting on electricity demand in Cambodia. The first method of defining relation to predicting annual power demand in the future on economic factors based on annual data from 2004 to 2018. The method was paring GDP with power demand delivered using regression analysis, then with GDP and Total consumer connection by multi-regression analysis. Secondly, for environmental factors affecting on predicting daily maximum power demand (Pmax) by temperature and humidity from 1st Jan 2020 to 20th July 2020, using regression and multi-regression respectively. As a result of linear regression, we observed annual new consumer connection and GDP of Cambodia were the best factors affecting electricity demand. However, for environmental factors, temperature and humidity are not really affect the curve of (Pmax) from our data. Daily temperature in Cambodia could be explained only 4.2% of daily maximum electricity demand while humidity was not significant.

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