In Gardner [Gardner, ES, Jr.(1985). Exponential smoothing: The state of the art. Journal of
Forecasting 4, 1–28], I reviewed the research in exponential smoothing since the original …

We review the past 25 years of research into time series forecasting. In this silver jubilee
issue, we naturally highlight results published in journals managed by the International …

This paper considers univariate online electricity demand forecasting for lead times from a
half-hour-ahead to a day-ahead. A time series of demand recorded at half-hourly intervals …

Describing new techniques and novel applications, Handbook of Research Methods in
Public Administration, Second Edition demonstrates the use of tools designed to meet the …

Multiplicative trend exponential smoothing has received very little attention in the literature. It
involves modelling the local slope by smoothing successive ratios of the local level, and this …

Interval-valued time series are interval-valued data that are collected in a chronological
sequence over time. This paper introduces three approaches to forecasting interval-valued …

We review the past 25 years of time series research that has been published in journals
managed by the International Institute of Forecasters (Journal of Forecasting 1982–1985; …

Adaptive exponential smoothing methods allow smoothing parameters to change over time,
in order to adapt to changes in the characteristics of the time series. This paper presents a …

Inventory control systems typically require the frequent updating of forecasts for many
different products. In addition to point predictions, interval forecasts are needed to set …

The Holt–Winters models are one of the most popular forecasting algorithms. As well-known,
these models are recursive and thus, an initialization value is needed to feed the model …