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A PSO–GA optimal model to estimate primary energy demand of China
16 references·5 citing·31 second hop
A PSO–GA optimal model to estimate primary energy demand of China (2011)A PSO–GA optimal model to estimate primar…Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm (2013)Forecasting iron ore import a…Energy, the Environment and US Economic Growth (2013)Energy, the Environment and U…Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India (2010)Time series models (Grey-Mark…Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)Forecasting energy consumptio…Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran (2010)Application of PSO (particle …Energy demand estimation of South Korea using artificial neural network (2009)Energy demand estimation of S…Grey prediction with rolling mechanism for electricity demand forecasting of Turkey (2007)Grey prediction with rolling …Grey prediction with rolling mechanism for electricity demand forecasting of Shanghai (2007)Grey prediction with rolling …Ant colony optimization approach to estimate energy demand of Turkey (2007)Ant colony optimization appro…ARIMA forecasting of primary energy demand by fuel in Turkey (2006)ARIMA forecasting of primary …Forecasting combination and encompassing tests (2003)Forecasting combination and e…Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach (2003)Estimating energy demand of T…Applications of improved grey prediction model for power demand forecasting (2003)Applications of improved grey…Industrial and business forecasting methods (1982)Industrial and business forec…Control problems of grey systems (1982)Control problems of grey syst…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation (2018)Estimates of energy consumpti…The Impact of Financial Development on Energy Demand: Evidence from China (2017)The Impact of Financial Devel…Measuring the capacity utilization of the coal sector and its decoupling with economic growth in China’s supply-side reform (2016)Measuring the capacity utiliz…Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method (2014)Provincial carbon intensity a…Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas (2012)Predicting and optimization o…China statistical yearbook (1988)Introduction to Grey system theory (1989)An optimized grey model for annual power load forecasting (2016)Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China (2017)Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China (2018)MONEY, INCOME, AND CAUSALITY (1972)ON THE RELATIONSHIP BETWEEN ENERGY AND GNP (1978)Energy consumption modeling using artificial neural networks: The case of the world’s highest consumers (2016)Grey Information: Theory and Practical Applications (2005)Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil (2011)Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model (2012)Energy consumption and GDP: causality relationship in G-7 countries and emerging markets (2002)Time series forecasting using a hybrid ARIMA and neural network model (2003)Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming (2010)Modeling and forecasting of Turkey’s energy consumption using socio-economic and demographic variables (2010)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)Time Series Analysis, Forecasting and Control. 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References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1982Control problems of grey systems4,503 cited
  • 2006ARIMA forecasting of primary energy demand by fuel in Turkey622 cited
  • 1982Industrial and business forecasting methods515 cited
  • 2007Grey prediction with rolling mechanism for electricity demand forecasting of Turkey441 cited
  • 2003Applications of improved grey prediction model for power demand forecasting387 cited
  • 2010Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India356 cited
  • 2010Forecasting energy consumption using a grey model improved by incorporating genetic programming294 cited
  • 2010Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran215 cited
  • 2003Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach205 cited
  • 2009Energy demand estimation of South Korea using artificial neural network204 cited
  • 2007Ant colony optimization approach to estimate energy demand of Turkey185 cited
  • 2013Energy, the Environment and US Economic Growth119 cited
  • 2013Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm

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86 cited
  • 2007Grey prediction with rolling mechanism for electricity demand forecasting of Shanghai86 cited
  • 2003Forecasting combination and encompassing tests80 cited
  • Cited by

    • 2014Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method97 cited
    • 2016Measuring the capacity utilization of the coal sector and its decoupling with economic growth in China’s supply-side reform89 cited
    • 2018Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation84 cited
    • 2012Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas75 cited
    • 2017The Impact of Financial Development on Energy Demand: Evidence from China73 cited