Damped trend exponential smoothing: A modelling viewpoint

By Ed McKenzie, Everette S. Gardner Jr.. 2010

62 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Finance, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/7ac587210964a73d3bc15f2ab1ba797b3f99df81

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. N. A. Jalil
2. Steven C. H. Hoi
3. Maizah Hura Ahmad
4. Doyen Sahoo
5. N. Mohamed

In Management Science and Operations Research

1. N. A. Jalil
2. Gerald Woo
3. Steven C. H. Hoi
4. Chenghao Liu
5. Akshat Kumar
6. Maizah Hura Ahmad
7. Doyen Sahoo
8. N. Mohamed

Citations in the corpus

• Determination of Exponential Smoothing Constant to Minimize Mean Square Error and Mean Absolute Deviation (2011, unknown): “FF3 = ααAA2 + αα(1 − αα)AA1 + αα(1 − αα)(2)AA0 (4)”
• ETSformer: Exponential Smoothing Transformers for Time-series Forecasting (2022, methodology): “A widely used modification of the additive Holt-Winters’ method is to allow the damping of trends, which has been proved to produce robust multi-step forecasts [22, 28].”
• Electricity load demand forecasting using exponential smoothing methods (2013, background): “[3] and McKenzie and Gardner [4] discussed the damped linear trend forecasting equation of exponential smoothing method.”