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A novel method for carbon dioxide emission forecasting based on improved Gaussian processes regression
9 references·16 citing·45 second hop
A novel method for carbon dioxide emission forecasting based on improved Gaussian processes regression (2017)A novel method for carbon dioxide emissio…Efficient allocation of CO 2 emissions in China: a zero sum gains data envelopment model (2015)Efficient allocation of CO 2 …Economic Growth and Climate Change: A Cross-National Analysis of Territorial and Consumption-Based Carbon Emissions in High-Income Countries (2014)Economic Growth and Climate C…The disclosure of industrial greenhouse gas emissions: a critical assessment of corporate sustainability reports (2012)The disclosure of industrial …Temperature Shocks and Economic Growth: Evidence from the Last Half Century (2012)Temperature Shocks and Econom…The Economics of Climate Change (2010)The Economics of Climate Chan…Linkages among climate change, crop yields and Mexico–US cross-border migration (2010)Linkages among climate change…Spite and Development (2008)Spite and DevelopmentThe Economics of Climate Change (2007)The Economics of Climate Chan…The "Stern Review" on the Economics of Climate Change (2006)The "Stern Review" on the Eco…The United States and China on the paths and policies to carbon neutrality (2022)The United States and China o…Probing CO2 emission in Chengdu based on STRIPAT model and Tapio decoupling (2022)Probing CO2 emission in Cheng…Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithms (2022)Forecasting of future greenho…A comparative analysis to forecast carbon dioxide emissions (2022)A comparative analysis to for…Modeling and predicting city-level CO2 emissions using open access data and machine learning (2021)Modeling and predicting city-…Forecasting CO2 emissions in Chinas commercial department, through BP neural network based on random forest and PSO (2020)Forecasting CO2 emissions in …A novel approach to predict CO2 emission in the agriculture sector of Iran based on Inclusive Multiple Model (2020)A novel approach to predict C…Socioeconomic driving forces and scenario simulation of CO2 emissions for a fast-developing region in China (2019)Socioeconomic driving forces …Influencing factors analysis and forecasting of residential energy-related CO2 emissions utilizing optimized support vector machine (2019)Influencing factors analysis …Forecasting of Turkey's greenhouse gas emissions using linear and nonlinear rolling metabolic grey model based on optimization (2019)Forecasting of Turkey's green…Forecasting of CO 2 emissions in Iran based on time series and regression analysis (2019)Forecasting of CO 2 emissions…Can China achieve its 2030 carbon emissions commitment? 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References

  • 2007The Economics of Climate Change8,347 cited
  • 2006The "Stern Review" on the Economics of Climate Change2,780 cited
  • 2010The Economics of Climate Change2,702 cited
  • 2012Temperature Shocks and Economic Growth: Evidence from the Last Half Century2,243 cited
  • 2010Linkages among climate change, crop yields and Mexico–US cross-border migration635 cited
  • 2008Spite and Development358 cited
  • 2014Economic Growth and Climate Change: A Cross-National Analysis of Territorial and Consumption-Based Carbon Emissions in High-Income Countries260 cited
  • 2012The disclosure of industrial greenhouse gas emissions: a critical assessment of corporate sustainability reports160 cited
  • 2015Efficient allocation of CO 2 emissions in China: a zero sum gains data envelopment model144 cited

Cited by

  • 2019Forecasting of CO 2 emissions in Iran based on time series and regression analysis207 cited
  • 2022The United States and China on the paths and policies to carbon neutrality185 cited
  • 2020Forecasting CO2 emissions in Chinas commercial department, through BP neural network based on random forest and PSO178 cited
  • 2022Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithms165 cited
  • 2019Can China achieve its 2030 carbon emissions commitment? Scenario analysis based on an improved general regression neural network

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155 cited
  • 2019Influencing factors analysis and forecasting of residential energy-related CO2 emissions utilizing optimized support vector machine135 cited
  • 2018Forecasting CO2 emissions in Hebei, China, through moth-flame optimization based on the random forest and extreme learning machine109 cited
  • 2022A comparative analysis to forecast carbon dioxide emissions101 cited
  • 2019Socioeconomic driving forces and scenario simulation of CO2 emissions for a fast-developing region in China96 cited
  • 2020A novel approach to predict CO2 emission in the agriculture sector of Iran based on Inclusive Multiple Model95 cited
  • 2022Probing CO2 emission in Chengdu based on STRIPAT model and Tapio decoupling86 cited
  • 2019Forecasting of Turkey's greenhouse gas emissions using linear and nonlinear rolling metabolic grey model based on optimization85 cited
  • 2018A model for urban sector drivers of carbon emissions84 cited
  • 2018Prospective on energy related carbon emissions peak integrating optimized intelligent algorithm with dry process technique application for China's cement industry83 cited
  • 2018Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm77 cited
  • 2021Modeling and predicting city-level CO2 emissions using open access data and machine learning69 cited