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Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model
12 references·4 citing·49 second hop
Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model (2018)Short-Term Forecasting for Energy Consump…A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)A novel heterogeneous ensembl…Is there an optimal forecast combination? (2013)Is there an optimal forecast …Integration of nonlinear independent component analysis and support vector regression for stock price forecasting (2012)Integration of nonlinear inde…Forecasting stock indices with back propagation neural network (2011)Forecasting stock indices wit…Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction (2011)Advances in forecasting with …Meta-learning for time series forecasting and forecast combination (2010)Meta-learning for time series…Analysis and forecasting of nonresidential electricity consumption in Romania (2010)Analysis and forecasting of n…ARIMA forecasting of primary energy demand by fuel in Turkey (2006)ARIMA forecasting of primary …25 years of time series forecasting (2006)25 years of time series forec…Combination forecasts of output growth in a seven‐country data set (2004)Combination forecasts of outp…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Forecasting the primary energy demand in Turkey and analysis of cyclic patterns (2002)Forecasting the primary energ…Investigating Deep Stock Market Forecasting with Sentiment Analysis (2023)Investigating Deep Stock Mark…ARIMA-AdaBoost hybrid approach for product quality prediction in advanced 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References

  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 200625 years of time series forecasting1,589 cited
  • 2004Combination forecasts of output growth in a seven‐country data set1,138 cited
  • 2006ARIMA forecasting of primary energy demand by fuel in Turkey622 cited
  • 2011Forecasting stock indices with back propagation neural network487 cited
  • 2011Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction272 cited
  • 2010Meta-learning for time series forecasting and forecast combination244 cited
  • 2017A novel heterogeneous ensemble credit scoring model based on bstacking approach214 cited
  • 2002Forecasting the primary energy demand in Turkey and analysis of cyclic patterns179 cited
  • 2013Is there an optimal forecast combination?149 cited
  • 2012Integration of nonlinear independent component analysis and support vector regression for stock price forecasting136 cited
  • 2010Analysis and forecasting of nonresidential electricity consumption in Romania136 cited

Cited by

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