SET Proceedings 2978-4387 Caravel Press 10.65582/set.2003.014 2003.014 A combined gray neural network model of seasonal heating load forecast QiaoXiaozhuang YangChangzhi The tenth design and research institute of machinery industry, Beijing 100083, P.R.China College of Civil Engineering, Hunan University, Changsha 410082, P.R.China 24102003 2 1 978-1-995850-10-8 69 71 © 2003 Copyright WSSET 2003

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.

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