A hybrid BAG-SA optimal approach to estimate energy demand of China-Reference-Cited by-同舟云学术

A hybrid BAG-SA optimal approach to estimate energy demand of China

Published:2017-02 Issue: Volume:120 Page:985-995
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Wu Qunli,Peng Chenyang

Funder

Humanities and Social Sciences Planning Foundation of the Ministry of Education of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference49 articles.

1. China statistics yearbook;NBSC,2015

2. Annual report on the national economy and social development of P.R. China 2015;NBSC,2016

3. Electricity demand for Sri Lanka: a time series analysis;Amarawickrama;Energy,2008

4. Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India;Kumar;Energy,2010

5. Forecasting the transport energy demand based on PLSR method in China;Zhang;Energy,2009

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