References

• 2006Exponential smoothing: The state of the art—Part II953 cited
• 2020An optimized model using LSTM network for demand forecasting538 cited
• 2019Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition309 cited
• 2018A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors280 cited
• 2014Forecasting macroeconomic time series: LASSO-based approaches and their forecast combinations with dynamic factor models127 cited
• 2018Roll motion prediction using a hybrid deep learning and ARIMA model89 cited
• 2004An integrated regression analysis and time series model for construction tender price index forecasting70 cited
• 2020A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters52 cited
• 2013Correcting and combining time series forecasters51 cited
• 2017A double-level combination approach for demand forecasting of repairable airplane spare parts based on turnover data50 cited
• 2018Stock Price Forecast Based on LSTM Neural Network45 cited
• 2020Sustainable Supply Chain of Enterprises: Value Analysis41 cited
• 2021Using Big Data for Sustainability in Supply Chain Management40 cited
• 2020Green Product Pricing and Order Strategies in a Supply Chain under Demand Forecasting