Based on the abundant numerical predicted production from T213 model and the real time observation from Beijing Meteorological Observatory, a neural network model is developed to forecast daytime, nighttime, daily mean, minimum and maximum temperatures for 1—3 day(0—72hours) in advance. The forecast tests indicate that the square root error is less than 2℃ that can be satisfied for economical heating in Beijing.