The grey Theta forecasting model and its application to forecast primary energy consumption in major industrial countries-Reference-Cited by-同舟云学术

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The grey Theta forecasting model and its application to forecast primary energy consumption in major industrial countries

Published:2021-09-09 Issue: Volume: Page:1-17
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:

Shang Gang¹^ORCID,Li Nu²^ORCID,Liu Lianyi³^ORCID

Affiliation:

1. School of Mechanical Engineering, Tongji University, Shanghai, China

2. School of Business Administration, China University of Petroleum, Beijing, China

3. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2021.1967518

Reference44 articles.

1. The theta model: a decomposition approach to forecasting

2. Electricity consumption forecasting for Turkey with nonhomogeneous discrete grey model

3. The effect of urbanization, energy consumption, and foreign direct investment on the carbon dioxide emission in the SSEA (South and Southeast Asian) region

4. Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer

5. Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1,1)

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2. Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China;BMC Geriatrics;2023-09-16

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