Abstract: The variability characteristics of Guangdong daily electrical load from 2002 to 2004 and itsconnection to meteorological variables are analyzed with wavelet analysis and correlation analysis. Predictionequations are established using optimization subset regression. The results show that the linear increasingtrend is very significant and seasonal change is obvious. The electrical load exhibits significant quasi-week(5～7 days) oscillation, quasi-two weeks (10～20 days) oscillation and intraseasonal (30～60 days)oscillation. These oscillations are caused by atmospheric low frequency oscillation and public holidays. Thevariation of Guangdong daily electrical load is obviously in decrease on Sundays, shaping like a funnelduring Chinese New Year in particular. The minimum is found at the first and second day and the electricalload gradually increases to normal level after the third day during the long vacation of Labor Day andNational Day. Guangdong electrical load is the most sensitive to temperature, which is the main affectingfactor, as in other areas in China. The electrical load also has relationship with other meteorological elementsto some extent during different seasons. The maximum of electrical load in summer, minimum duringChinese New Year and variation during Labor Day and National Day are well fitted and predicted using theequation established by optimization subset regression and accounting for the effect of workdays andholidays.