1. Comparison of Holt and Brown's Double Exponential Smoothing Methods in The Forecast of Moving Price for Mutual Funds
2. Utami , R. , & Atmojo , S. ( 2017 ). Perbandingan Metode Holt Exponential Smoothing dan Winter Exponential Smoothing Untuk Peramalan Penjualan Souvenir. 11(2), 123–130 . Utami, R., & Atmojo, S. (2017). Perbandingan Metode Holt Exponential Smoothing dan Winter Exponential Smoothing Untuk Peramalan Penjualan Souvenir. 11(2), 123–130.
3. Güzin Tirkeş Cenk Güray Neş’e Çelebi. Demand forecasting: a comparison. Between the Holt-winters trend analysis and decomposition models ISSN 1330-3651 (Print) ISSN 1848-6339 (Online). Güzin Tirkeş Cenk Güray Neş’e Çelebi. Demand forecasting: a comparison. Between the Holt-winters trend analysis and decomposition models ISSN 1330-3651 (Print) ISSN 1848-6339 (Online).
4. Potocnik P Strmcnik E Govekar E. Linear and neural network-based models for short-term heat load forecasting. Stroj vestnik J Mech Eng 2015;61(9): 543e50. Potocnik P Strmcnik E Govekar E. Linear and neural network-based models for short-term heat load forecasting. Stroj vestnik J Mech Eng 2015;61(9): 543e50.
5. Fildes R , Liao KP. The accuracy of a procedural approach to specifying feedforward neural networks for forecasting. Comput Oper Res 2005 ; 32:2151-69. Fildes R, Liao KP. The accuracy of a procedural approach to specifying feedforward neural networks for forecasting. Comput Oper Res 2005; 32:2151-69.