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The Second China Energy Scientist Forum (CESF 2010 E-BOOK)

Xuzhou,China,10.18-10.19，2010

ISBN: 978-1-935068-37-2 Scientific Research Publishing, USA

E-Book 2244pp Pub. Date: October 2010

Category: Medicine & Healthcare

Price: $360

Title: The Combined Model of Gray Theory and Neural Networkwhich is based Matlab Software for Forecasting of Oil Product Demand
Source: The Second China Energy Scientist Forum (CESF 2010 E-BOOK) (pp 155-160)
Author(s): Zhaozheng Song, State Key Laboratory of Heavy Oil for Processing, University of Petroleum, Beijing102249, China
Yanjun Jiang, Turpan-Hami Oilfield,Shanshan Xinjiang838202，China
Qingzhe Jiang, State Key Laboratory of Heavy Oil for Processing, University of Petroleum, Beijing102249, China
Abstract: Under the situation that single prediction can’t meet the accuracy requirements, combined forecasting method is usually the first choice. Using the history data of domestic oil products consumption, by optimized combination of grey forecasting GM(1, 1) model and artificial neural network, the combined forecasting model was built. It can be getting from the combined forecasting model that on the 2020, the gasoline demand is 101.52 million ton and the diesel demand is187.57 million ton.
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