Exponential smoothing is a time series forecasting method for univariate data that can be extended to support data with a systematic trend or seasonal component. It is common practice to use an optimization process to find the model hyperparameters that result in the exponential smoothing...
STATISTICAL smoothingSPARE partsLOGICAL predictionSTANDARD deviationsPYTHON programming languageFORECASTINGAs a heavy equipment distributor company with a widespread population of units across Indonesia, PT. Kobexindo Tractors Tbk holds a significant spare parts inventory to meet their custo...
ETSformer is inspired by the classical exponential smoothing methods in time-series forecasting, leveraging the novel exponential smoothing attention (ESA) and frequency attention (FA) to replace the self-attention mechanism in vanilla Transformers, thus improving both accuracy and efficiency. ...
It's Python 2 and 3 compatible, so thus it will work under both Python kernels for Jupyter. We use it for financial economics, see https://git.io/fecon235 for topics which use Holt-Winters for smoothing and forecasting. Its license is BSD. Robust parameters are discussed in: Sarah Gelpe...
time series forecasting; exponential smoothing models; decision-making; ARIMA; EBITDA; fashion industry sector; economic forecasting; financial strategy; financial performance; economic models1. Introduction The influence of prediction through information platforms has been one of the advantages of industry ...
Keywords: time series forecasting; exponential smoothing models; decision-making; ARIMA; EBITDA; fashion industry sector; economic forecasting; financial strategy; financial performance; economic models 1. Introduction The influence of prediction through information platforms has been one of the ad- vantage...