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Journal of Applied Mathematics
Volume 2014, Article ID 131432, 6 pages
Research Article

Geometrical Variable Weights Buffer GM(1,1) Model and Its Application in Forecasting of China’s Energy Consumption

Wei Li1,2 and Han Xie1

1Department of Business Administration, North China Electric Power University, Baoding 071003, China
2Energy Economic Development Strategy Research Base, Soft Science Research Base of Hebei Province, Baoding 071003, China

Received 20 January 2014; Revised 12 March 2014; Accepted 31 March 2014; Published 15 April 2014

Academic Editor: Gongnan Xie

Copyright © 2014 Wei Li and Han Xie. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

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  • Fei Guo, Lado Kurdgelashvili, Magnus Bengtsson, and Lewis Akenji, “Analysis of achievable residential energy-saving potential and its implications for effective policy interventions: A study of Xiamen city in southern China,” Renewable and Sustainable Energy Reviews, vol. 62, pp. 507–520, 2016. View at Publisher · View at Google Scholar
  • Shuyun Ren, Hau-Ling Chan, and Pratibha Ram, “A Comparative Study on Fashion Demand Forecasting Models with Multiple Sources of Uncertainty,” Annals of Operations Research, 2016. View at Publisher · View at Google Scholar
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  • Ning Xu, Yande Gong, and Yaoguo Dang, “Novel grey prediction model with nonlinear optimized time response method for forecasting of electricity consumption in China,” Energy, vol. 118, pp. 473–480, 2017. View at Publisher · View at Google Scholar
  • Bingqing Ding, Anthony Bush, Wei Zhou, and Ying Zhang, “The improved grey model by fusing exponential buffer operator and its application,” Journal of Intelligent and Fuzzy Systems, vol. 33, no. 3, pp. 1651–1663, 2017. View at Publisher · View at Google Scholar
  • Hui Wang, Jianbo Sun, and Weijun Wang, “Photovoltaic Power Forecasting Based on EEMD and a Variable-Weight Combination Forecasting Model,” Sustainability, vol. 10, no. 8, pp. 2627, 2018. View at Publisher · View at Google Scholar