References

• 1971Time Series Analysis Forecasting and Control1,792 cited
• 2016Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model393 cited
• 2017Forecasting Error Calculation with Mean Absolute Deviation and Mean Absolute Percentage Error324 cited
• 2016Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization242 cited
• 1996Energy, economic growth and causality in developing countries227 cited
• 2016An optimized grey model for annual power load forecasting222 cited
• 2018Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques194 cited
• 2009Aggregate electricity demand in South Africa: Conditional forecasts to 2030165 cited
• 2009Savings and economic growth in South Africa: A multivariate causality test111 cited
• 2018China's dependency on foreign oil will exceed 80% by 2030: Developing a novel NMGM-ARIMA to forecast China's foreign oil dependence from two dimensions100 cited
• 2012Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM88 cited
• 2017Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model67 cited
• 2016A Comparative Study on Fashion Demand Forecasting Models with Multiple Sources of Uncertainty