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

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

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 ...

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 ...

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) ...

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 ...