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Using Bees Algorithm and Artificial Neural Network to Forecast World Carbon Dioxide Emission
3 references·2 citing·22 second hop
Using Bees Algorithm and Artificial Neural Network to Forecast World Carbon Dioxide Emission (2011)Using Bees Algorithm and Artificial Neura…Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran (2010)Application of PSO (particle …Application of genetic algorithm (GA) technique on demand estimation of fossil fuels in Turkey (2008)Application of genetic algori…Estimation and control of Spanish energy-related CO2 emissions: an input–output approach (2002)Estimation and control of Spa…Forecasting Nitrous Oxide emissions based on grey system models (2019)Forecasting Nitrous Oxide emi…Forecasting carbon dioxide emissions based on a hybrid of mixed data sampling regression model and back propagation neural network in the USA (2017)Forecasting carbon dioxide em…Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach (2003)A real options evaluation model for the diffusion prospects of new renewable power generation technologies (2006)Forecasting future oil demand in Iran using GSA (Gravitational Search Algorithm) (2011)China’s primary energy demands in 2020: Predictions from an MPSO–RBF estimation model (2012)A comparative study on prediction methods for China's medium- and long-term coal demand (2015)Quantitative Input and Output Relations in the Economic Systems of the United States (1936)Managing the global commons: the economics of climate change (1995)Climate Change 1995: Economic and Social Dimensions of Climate Change (1996)Green tax reforms in Spain (2004)Economic and environmental effects of CO2taxation: an input-output analysis for Spain (2013)Grey prediction with rolling mechanism for electricity demand forecasting of Turkey (2007)A PSO–GA optimal model to estimate primary energy demand of China (2011)Energy demand projection of China using a path-coefficient analysis and PSO–GA approach (2011)Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm (2013)The long-run and causal analysis of energy, growth, openness and financial development on carbon emissions in Turkey (2012)Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia (2013)CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis (2014)Forecasting China's wastewater discharge using dynamic factors and mixed-frequency data (2019)Grey optimization Verhulst model and its application in forecasting coal-related CO2 emissions (2020)Discrete grey forecasting model and its optimization (2008)Advances in Grey Systems Research (2010)Grey Systems: Theory and Applications (2010)
this work references cited by second hop

References

  • 2010Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran215 cited
  • 2008Application of genetic algorithm (GA) technique on demand estimation of fossil fuels in Turkey91 cited
  • 2002Estimation and control of Spanish energy-related CO2 emissions: an input–output approach82 cited

Cited by

  • 2017Forecasting carbon dioxide emissions based on a hybrid of mixed data sampling regression model and back propagation neural network in the USA66 cited
  • 2019Forecasting Nitrous Oxide emissions based on grey system models33 cited

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