پیش بینی کوتاه مدت تقاضای برق در بخش ساختمان از طریق رگرسیون بردار پشتیبانی ترکیبی

By comparisons between the hybrid SVR and the pure SVR, results indicated that the introduction of MWD can always improve the predicting accuracy for the hotel, while it is not necessary for the mall. Specifically, the similar steady level around 0.65 W/m2 of absolute error was obtained for the mall and the hotel buildings, when ε was lower than 0.1. At the same time, the steady quantitative values of relative errors tended to be around 4% and 6% respectively for the hotel and the mall. Based on the limited historical readings, this paper offers an on-line prediction method of short-term electric demand, which is applicable for the further smart energy management.