In time series exponential smoothing can be considered as a method to smooth the time series data. We can also consider it as a thumb rule technique which is an approximate method of doing something.

The fundamental theorem of exponential smoothing is extended to include the nonasymptotic case where only a finite number of time series observations are available. This extension leads to the ...

📌 Single Exponential Smoothing, SES for short, also called Simple Exponential Smoothing, is a time series forecasting method for univariate data without a trend or seasonality. 📌 It requires a ...

1 College of Economics and Management, Jilin Agricultural University, Changchun, China. 2 Department of Rural Development and Regional Planning, Institute of Rural Development Planning, Dodoma, ...

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

ABSTRACT: The transportation sector is responsible for 25% of the total Carbon dioxide (CO2) emissions, whereas 60.6% of this sector represents small and medium passenger cars. However, as noted by ...