ABSTRACT
This chapter describes the use of regression techniques to develop a group of curve fitting forecasting models. Although such medium-term, time series forecasting models are generally more sophisticated and more demanding in terms of computer processing time and storage than forecasts based on the exponentially weighted average concept, they do produce more information regarding the success or otherwise of the fitting process and also of the underlying composition of the demand data being analysed.
