An Investigation of the Coal Demand in China Based on Variable Weight Combination Forecasting Model-Reference-Cited by-同舟云学术

An Investigation of the Coal Demand in China Based on Variable Weight Combination Forecasting Model

Published:2010-09-25 Issue: Volume: Page:181-190
ISSN:2191-1436
Container-title:Computational Risk Management
language:
Short-container-title:

Author:

Zhao Guohao,Guo Shufen,Shentu Jing,Wang Yongguang

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-15243-6_21

Reference12 articles.

1. Lu Erpo. 2005. A study of the forecasting modal of Chinese energy demand. Statistics and Decision, 20: 31–33. (in Chinese).

2. Guo Guntao. 2004. Analysis and prediction of medium and long term coal supply and demand in China. China Coal, 10: 22–25. (in Chinese)

3. Chen Huayou. 2001. Research on combination forecasting model with non negative and time-variant weights based on effective measure of forecasting methods. Operations Research and Management Science, 1: 50–54.

4. Kouris, George. 1998. Energy consumption and economic activity in industrialized countries: a note. Energy Economics, 5: 207–212.

5. Lu Qi, Gu Peiliang, Qiu Shiming. 2003. The construction and application of combination forecasting model in Chinese energy consumption system. Systems Engineering-Theory & Practice, 3: 25–31. (in Chinese).

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Short-Term Coal Demand Forecasting of Provincial Region Based on GRA-PCA and CNN-BILSTM;2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE);2023-09-15

2. Multistep-ahead forecasting of coal prices using a hybrid deep learning model;Resources Policy;2020-03

3. The Analysis and Forecasting Model of the Energy Supply and Demand in Jiangxi Province;Applied Mechanics and Materials;2012-05