Forecasting China’s regional energy demand by 2030: A Bayesian approach-Reference-Cited by-同舟云学术

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Forecasting China’s regional energy demand by 2030: A Bayesian approach

Published:2017-12 Issue: Volume:127 Page:85-95
ISSN:0921-3449
Container-title:Resources, Conservation and Recycling
language:en
Short-container-title:Resources, Conservation and Recycling

Author:

Yuan Xiao-Chen,Sun Xun,Zhao Weigang,Mi Zhifu,Wang Bing,Wei Yi-Ming

Funder

National Key R&D Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Guangdong Provincial Department of Science and Technology Program

Publisher

Elsevier BV

Subject

Economics and Econometrics,Waste Management and Disposal

Reference45 articles.

1. Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission;Al-mulali;Energy,2012

2. Understanding China's past and future energy demand: an energy efficiency and decomposition analysis;Brockway;Appl. Energy,2015

3. Climate information based streamflow and rainfall forecasts for Huai River basin using hierarchical Bayesian modeling;Chen;Hydrol. Earth Syst. Sci.,2014

4. Carbon emissions in China's industrial sectors;Chen;Resour. Conserv. Recycl.,2017

5. Municipal scale scenario: analysis of an Italian seaside town with MarkAL-TIMES;Comodi;Energy Policy,2012

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