Forecasting the self-sufficiency rate of China’s energy by the hybrid gray models-Reference-Cited by-同舟云学术

Forecasting the self-sufficiency rate of China’s energy by the hybrid gray models

Published:2019-09-20 Issue: Volume: Page:1-20
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Fan Decheng¹,Pang Cholho¹²,Kim Jongsu³,Jon Song¹⁴,Gu Xiaomei¹

Affiliation:

1. School of Economics and Management, Harbin Engineering University, Harbin, China

2. Department of Material Engineering, Kimchaek University of Technology, Pyongyang, Democratic People’s Republic of Korea

3. Faculty of Life Science, KIM IL SUNG University, Pyongyang, Democratic People’s Republic of Korea

4. Department of Physics, University of Science, Pyongyang, Democratic People’s Republic of Korea

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

Reference38 articles.

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2. Monthly natural gas demand forecasting by adjusted seasonal grey forecasting model;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2020-10-23