基于组合预测模型的云南省能源消费预测研究
Study on Energy Consumption Prediction in Yunnan Province Based on Combined Prediction Model
作者: 尹潇潇 :云南财经大学统计与数学学院,云南 昆明;
关键词: 单一预测模型; 组合预测模型; 能源消费; 预测; Single Prediction Model; Combined Prediction Model; Energy Consumption; Predictions
摘要:Abstract: There is a strong relationship between energy and economic development of China, the protection of human health and the environment. It is essential to accurately predict energy consumption. This can provide a scientific basis for decision-making about energy work. Based on the historical data of energy consumption in Yunnan Province, on the basis of the three single prediction model, we establish combined prediction model to make energy predictions in Yunnan Province by non- optimal weighted linear combination model and minimum sum of square error of objective func- tion for optimal weight linear combination model. The prediction results of these models are ana- lyzed and compared. The results show that combined prediction model is performed better. This indicates that the combined prediction model is an useful theoretical tool for energy prediction in Yunnan Province.
文章引用: 尹潇潇 (2014) 基于组合预测模型的云南省能源消费预测研究。 低碳经济, 3, 38-45. doi: 10.12677/JLCE.2014.34005
参考文献
[1] 沈满洪, 苏小龙 (2013) 能源低碳化研究文献评述. 低碳经济, 1, 49.
[2] 黄宜 (2013) 基于Shapley值的云南省能源消费综合预测方法研究. 能源研究与信息, 1, 57-60.
[3] 邓鸿鹄 (2013) 北京市能源消费预测方法比较研究. 硕士论文, 北京林业大学, 北京.
[4] 常建娥, 蒋太立 (2007) 层次分析法确定权重的研究. 武汉理工大学学报 • 信息与管理工程版, 1, 153-156.
[5] 熊浩云 (2010) 应用组合模型对我国能源消费的预测. 科学技术与工程, 17, 4268-4282.
[6] 张志朝 (2009) 组合预测模型在安徽省人均GDP预测中的应用. 广西财经学院学报, 5, 32-35.
[7] 江正华 (2014) 基于方差的最优组合赋权模型在网络信息资源评价中的应用. 计算机与应用, 1, 302-308.
[8] 云南省统计局 (2011, 2012) 云南省统计年鉴. 中国统计出版社, 北京.