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

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 ...

This project applies Double Exponential Smoothing to time series data for forecasting, using the Holt-Winters method implemented through the statsmodels library.

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

In the STEPAR method, PROC FORECAST first fits a time trend model to the series and takes the difference between each value and the estimated trend. (This process is called detrending.) Then, the ...

Abstract: Data forecasting methods are essential in the business world to determine the company’s future steps. However, the COVID-19 pandemic has hit the tourism economy hard, resulting in a slump in ...

Abstract: It has important significance in engineering to analyze rock slope's evolution rule and forecast its development trend based on the safety monitoring displacement data. The actual slope ...

Holt-Winters is a model of time series behavior. Forecasting always requires a model, and Holt-Winters is a way to model three aspects of the time series: a typical value (average), a slope (trend) ...