FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

SmoothTrend is a Python-based time series analysis program that implements several statistical methods for trend analysis, forecasting, and data visualization. The script incorporates Holt-Winters, ...

Abstract: Sales is an important aspect of running a commercial business. To increase sales, it must be accompanied by adequate availability of goods so that consumer needs can be met. However, the ...

Efficient supply chain management relies on accurate demand forecasting. Typically, forecasts are required at frequent intervals for many items. Forecasting methods suitable for this application are ...

The well-established forecasting methods of exponential smoothing rely on the “optimal” estimation of parameters if they are to perform well. A grid search procedure to minimise the MSE is often used ...

1 Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Petroliam Nasional Berhad (PETRONAS), Kuala Lumpur, Malaysia. Forecasting ...

This TSA forecasting model employs advanced machine learning techniques, including ARIMA, SARIMAX, and Exponential Smoothing, to predict future trends in monthly champagne sales. The model leverages ...