Modelling and forecasting CO 2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model-Reference-Cited by-同舟云学术

Modelling and forecasting CO 2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model

Published:2015-01 Issue: Volume:79 Page:489-495
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Wu Lifeng,Liu Sifeng,Liu Dinglin,Fang Zhigeng,Xu Haiyan

Funder

Marie Curie International Incoming Fellowship within the 7th European Community Framework Programme

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation

Project of Social Science Foundation 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

Reference41 articles.

1. Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil;Pao;Energy,2011

2. Forecasting energy CO2 emissions using a quantum harmony search algorithm-based DMSFE combination model;Chang;Energies,2013

3. Forecasting the path of China's CO2 emissions using province level information;Auffhammer;J Environ Econ Manag,2008

4. A small-sample hybrid model for forecasting energy-related CO2 emissions;Meng;Energy,2014

5. Grey forecasting model for CO2 emissions: a Taiwan study;Lin;Appl Energy,2011

Cited by 197 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel dynamic grey multivariate prediction model for multiple cumulative time-delay shock effects and its application in energy emission forecasting;Expert Systems with Applications;2024-10

2. Mixed-frequency data Sampling Grey system Model: Forecasting annual CO2 emissions in China with quarterly and monthly economic-energy indicators;Applied Energy;2024-09

3. A grey prediction model optimized by meta-heuristic algorithms and its application in forecasting carbon emissions from road fuel combustion;Energy;2024-09

4. Analysis of the Measurement of Transportation Carbon Emissions and the Emission Reduction Path in the Yangtze River Economic Belt under the Background of “Dual Carbon” Goals;Energies;2024-07-09

5. Innovate, conserve, grow: A comprehensive analysis of technological innovation, energy utilization, and carbon emission in BRICS;Natural Resources Forum;2024-06-30