Modeling a hybrid methodology for evaluating and forecasting regional energy efficiency in China

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• 作者：Ming-Jia Li ; Ya-Ling He ; Wen-Quan Tao ; ^{wqtao@mail.xjtu.edu.cn}
• 关键词：Energy efficiency indicator ; Cluster areas ; Radial basis function neural ; GARCH model ; SFA model
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：185
• 期：part_P2
• 页码：1769-1777
• 全文大小：1514 K
• 卷排序：185

文摘

A new hybrid methodology consists of SFA-GARCH model and RBFN model is structured. Regional energy efficiency in China is measured during 2003–2014. Short-term forecast is examined without manual intervention from 2016 to 2020. The hybrid methodology avoids the superposition of errors of the individual forecasts. The 30 regions in China are clustered into high, moderate and low efficiency areas.