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Author:

Li, Ming-Jia (Li, Ming-Jia.) | Song, Chen-Xi (Song, Chen-Xi.) | Tao, Wen-Quan (Tao, Wen-Quan.) (Scholars:陶文铨)

Indexed by:

SCIE EI Scopus

Abstract:

A new hybrid methodology is introduced which is a combination of multiple regression model and generalised autoregressive conditional heteroskedasticity (GARCH) model. Comparing the new approach and the vector auto-regression (VAR) model, this paper analyses the short-term dynamics of the energy efficiency index (EEI) in response to change in the five indicator variables for thermal power plants in China. The result indicates that: (i) The new hybrid model can directly calculate the EEIs of thermal power plants without artificial intervention. (ii) It can eliminate the disturbance of residual superposition. (iii) The new method will offer more direct information on the degree of volatility among determinants and operating inefficiency. (C) 2016 Elsevier Ltd. All rights reserved.

Keyword:

Energy efficiency index GARCH model Thermal power plant VAR model

Author Community:

  • [ 1 ] [Li, Ming-Jia; Song, Chen-Xi; Tao, Wen-Quan] Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China
  • [ 2 ] [Li, Ming-Jia]Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China
  • [ 3 ] [Song, Chen-Xi]Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China
  • [ 4 ] [Tao, Wen-Quan]Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China

Reprint Author's Address:

  • 陶文铨

    Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China.

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Source :

APPLIED ENERGY

ISSN: 0306-2619

Year: 2016

Volume: 169

Page: 738-747

7 . 1 8 2

JCR@2016

9 . 7 4 6

JCR@2020

ESI Discipline: ENGINEERING;

ESI HC Threshold:128

JCR Journal Grade:2

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 53

SCOPUS Cited Count: 57

ESI Highly Cited Papers on the List: 2 Unfold All

  • 2017-7
  • 2017-5

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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