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Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm
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Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm (2015)Global Warming: Predicting OPEC Carbon Di…An effective fuzzy collaborative forecasting approach for predicting the job cycle time in wafer fabrication (2013)An effective fuzzy collaborat…A small-sample hybrid model for forecasting energy-related CO 2 emissions (2013)A small-sample hybrid model f…Grey forecasting model for CO2 emissions: A Taiwan study (2011)Grey forecasting model for CO…CO2 emissions, energy consumption and economic growth in China: A panel data analysis (2011)CO2 emissions, energy consump…Synthesis Report. Climate change: global risks, challenges and decisions, Copenhagen, Denmark, 10-12 March, 2009. (2009)Synthesis Report. Climate cha…Are global warming and economic growth compatible? Evidence from five OPEC countries? (2009)Are global warming and econom…Will OPEC lose from the Kyoto Protocol? (2003)Will OPEC lose from the Kyoto…A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)A simulation study of artific…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Book Review: Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Control problems of grey systems (1982)Another look at measures of forecast accuracy (2006)The Economics of Climate Change (2007)Energy-related CO2 emission forecast for Turkey and Europe and Eurasia (2017)An overview of carbon dioxide emissions from China's ferrous metal industry: 1991-2030 (2018)Considering Multiple Factors to Forecast CO2 Emissions: A Hybrid Multivariable Grey Forecasting and Genetic Programming Approach (2018)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Testing for a Unit Root in Time Series Regression (1988)Bounds testing approaches to the analysis of level relationships (2001)Energy consumption, economic growth and environmental pollutants in Indonesia (2012)Does carbon dioxide, methane, nitrous oxide, and GHG emissions influence the agriculture? Evidence from China (2020)Understanding the multidimensional linkages among renewable energy, pollution, economic growth and urbanization in contemporary economies: Quantitative assessments across different income countries’ groups (2021)Industrial and business forecasting methods (1982)Introduction to Grey system theory (1989)Grey system model with the fractional order accumulation (2012)Modelling and forecasting CO 2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model (2014)Modelling carbon emission intensity: Application of artificial neural network (2019)Increasing Returns and Path Dependence in the Economy (1994)Dynamics of energy technologies and global change (1999)The Worst of Friends: OPEC and G-77 in the Climate Regime (2008)The Economics of Global Warming (1992) (2021)Cycle time management during production ramp-up (2003)Fuzzy holons for intelligent multi-scale design in cloud-based design for configurations (2015)Guaranteed-consensus posterior-aggregation fuzzy analytic hierarchy process method (2019)Environmental Impacts of a North American Free Trade Agreement (1991)A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test (1999)Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors (1999)CO2 emissions, energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models (2013)Financial development, environmental quality, trade and economic growth: What causes what in MENA countries (2015)Investigating the EKC hypothesis with renewable energy consumption, human capital, globalization and trade openness for China: Evidence from augmented ARDL approach with a structural break (2020)Planetary Boundaries: Ecological Foundations for Corporate Sustainability (2012)Carbon dioxide emission-intensity in climate projections: Comparing the observational record to socio-economic scenarios (2017)A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)Neural network ensemble operators for time series forecasting (2014)
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References

  • 1998Forecasting with artificial neural networks:4,282 cited
  • 2011CO2 emissions, energy consumption and economic growth in China: A panel data analysis769 cited
  • 2001A simulation study of artificial neural networks for nonlinear time-series forecasting336 cited
  • 2011Grey forecasting model for CO2 emissions: A Taiwan study178 cited
  • 2009Are global warming and economic growth compatible? Evidence from five OPEC countries?140 cited
  • 2013A small-sample hybrid model for forecasting energy-related CO 2 emissions72 cited
  • 2009Synthesis Report. Climate change: global risks, challenges and decisions, Copenhagen, Denmark, 10-12 March, 2009.54 cited
  • 2003Will OPEC lose from the Kyoto Protocol?51 cited
  • 2013An effective fuzzy collaborative forecasting approach for predicting the job cycle time in wafer fabrication44 cited

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