Primary Energy Demands in Guangdong Province of China

Ying Chun Yang

doi:10.4028/www.scientific.net/AMR.962-965.1779

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965Primary Energy Demands in Guangdong Province of...

Primary Energy Demands in Guangdong Province of China

Abstract:

Rapid economic growth in China induces higher energy consumption. This article establishes a primary energy consumption model. Finally, this article puts forward energy policies for ensuring economic growth and simultaneously achieving emission reduction and energy conversation.

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

1779-1781

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.1779

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Online since:

June 2014

Authors:

Ying Chun Yang

Keywords:

Economic Growth, Energy Consumption (EC)

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References

[1] Statistics Bureau of Guangdong Province, 2011. Guangdong Statistical Yearbook 2011. China Statistics Press, Beijing.

Google Scholar

[2] Yu S., Wei Y., Wang K., 2012. China's primary energy demands in 2020: Predictions from an MPSO–RBF estimation model. Energy Conversion and Management, 61, 59-66.

DOI: 10.1016/j.enconman.2012.03.016

Google Scholar

[3] Suganthi L., Samuel Anand A., 2012. Energy models for demand forecasting-A review, Renewable and Sustainable Energy Reviews 16, 1223-1240.

DOI: 10.1016/j.rser.2011.08.014

Google Scholar

[4] Kankal M., et al., 2011. Modeling and forecasting of Turkey's energy consumption using social-economic and demographic variables. Applied Energy 88, 1927-(1939).

DOI: 10.1016/j.apenergy.2010.12.005

Google Scholar

[5] Pao H. T., 2006. Comparing linear and nonlinear forecasts for Taiwan's electricity consumption. Energy, 31, 2129–2141.

DOI: 10.1016/j.energy.2005.08.010

Google Scholar

[6] Bianco V., Manca O., Nardini S., 2009. Electricity consumption forecasting in Italy using linear regression models. Energy, 34, 1413–1421.

DOI: 10.1016/j.energy.2009.06.034

Google Scholar