STUDY ON THE MARGINAL ELECTRIC EFFECT OF TEMPERATURE IN GUANGZHOU

Based on the monthly mean temperature data and electric power consumptions in Guangzhou, Hong Kong and Macao from 2000 to 2005, the monthly mean weather components of 3 cities are divided by linear regression method and a model between temperature and weather components is build up. It shows that the percentages of the monthly mean weather components of the cities are 12.9%,17.1% and 18.5%, respectively.When the monthly mean temperature is up to 24.43,24.80 and 24.52℃, the weather components is more sensitive to the change of mean monthly temperature. The 1℃ effect and correlation coefficients successively decease in hot, transitional and cold seasons in the cities.