Seasonal heating load time sequence has the double trends of increasing and fluctuating, so it's difficult to select a model to forecast it. In this paper, a combined model of gray model and artificial neural network model was presented to forecast seasonal heating load. A concrete model was established and was verified through actual examples.
Keywords. heating load; gray model; artificial neural network model
References
WengBin Hu,ChangZhiYang. A gray system method of heating load prediction. The National HVAC annual 1998 Transaction of China:20-23.
Qingye Yin etal. Character recognition and ANN. Beijing: the mechanic industry publishing house, 1992.
Julong Deng. A book on the Gray system theory. Wuhan: the Huazhong Ligong University publishing house, 1990.
How to cite this article
Qiao, X. and Yang, C. (2003). 'A combined gray neural network model of seasonal heating load forecast'. SET Proceedings, 2(1), pp. 69-71. https://doi.org/10.65582/set.2003.014
