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A novel hybrid machine learning model for prediction of CO2 using socio-economic and energy attributes for climate change monitoring and mitigation policies
15 references·0 citing·55 second hopsampled
A novel hybrid machine learning model for prediction of CO2 using socio-economic and energy attributes for climate change monitoring and mitigation policies (2023)A novel hybrid machine learning model for…The dynamic nexus between economic growth, renewable energy use, urbanization, industrialization, tourism, agricultural productivity, forest area, and carbon dioxide emissions in the Philippines (2023)The dynamic nexus between eco…Predicting European cities’ climate mitigation performance using machine learning (2022)Predicting European cities’ c…Influence of political leaders on sustainable development goals – insights from twitter (2021)Influence of political leader…Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms (2021)Forecasting of transportation…Forecasting carbon emissions due to electricity power generation in Bahrain (2021)Forecasting carbon emissions …A review of machine learning applications in human resource management (2021)A review of machine learning …Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms (2020)Electricity production based …A multi-stage method to predict carbon dioxide emissions using dimensionality reduction, clustering, and machine learning techniques (2020)A multi-stage method to predi…A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions (2020)A machine learning approach o…Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data (2019)Hyperparameter tuning and per…A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer (2019)A hybrid algorithm for carbon…Big Data, Big Insights? 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References

  • 2019Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data619 cited
  • 2011The effect of carbon tax on per capita CO2 emissions592 cited
  • 2021A review of machine learning applications in human resource management434 cited
  • 2020A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions380 cited
  • 2021Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms279 cited
  • 2020Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms265 cited
  • 2023The dynamic nexus between economic growth, renewable energy use, urbanization, industrialization, tourism, agricultural productivity, forest area, and carbon dioxide emissions in the Philippines244 cited
  • 2019A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer225 cited
  • 2017Big Data, Big Insights? Advancing Service Innovation and Design With Machine Learning205 cited
  • 2020A multi-stage method to predict carbon dioxide emissions using dimensionality reduction, clustering, and machine learning techniques154 cited
  • 2021Forecasting carbon emissions due to electricity power generation in Bahrain116 cited
  • 2016Carbon dioxide emission prediction using support vector machine100 cited
  • 2013

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Climate change and future justice: precaution, compensation, and triage
82 cited
  • 2022Predicting European cities’ climate mitigation performance using machine learning58 cited
  • 2021Influence of political leaders on sustainable development goals – insights from twitter50 cited
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