Energy efficiency evaluation method based on multi-model fusion strategy

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• 作者：Meng Fansheng ; Li Bin ; Yang Donghui ; Yue Zenglei ; Liu Zhi
• 关键词：Energy effectiveness ; Feature recognition ; Multiple models merged ; Classification and cluster ; Assessment method
• 刊名：Cluster Computing
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：19
• 期：4
• 页码：1937-1949
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Processor Architectures; Operating Systems; Computer Communication Networks;
• 出版者：Springer US
• ISSN：1573-7543
• 卷排序：19

文摘

With the raise of “The Green Industrial Revolution” and the growing demand for low-carbon energy, determining the method for assessing energy usage has become an important problem. In this paper, an assessment method of energy is proposed based on the combination of several models. The study of energy efficiency in China is conducted. First, the data related to the energy efficiency in 24 provinces for the last 9 years is gathered. Meanwhile the key factors for ensuring effective energy utilization in two provinces is determined through feature recognition. Then, the comparative analysis on the categories-fusion model’s goodness of fit is performed, which was also used to predict the energy efficiency. Subsequently, the provinces with high and low energy efficiency based on the clustering strategies with multiple models merged are differentiated. Finally, corresponding recommendations for the development problem in China are presented based on the summary of the experimental results. The experimental results show that in comparison with the single-model approach, the merged multiple models has better performance than other methods. Therefore, this approach has a good engineering value.