Forecasting category or industry sales is a vital component of a company’s planning and control activities. Sales for … varying model significantly outperformed previous models both in terms of fitting and forecasting the sales data. …

Numerous econometric models have been proposed for forecasting property market performance, but limited success has …

in stock forecasting. Neural networks are viewed as one of the more suitable techniques. In this study, an experiment on … the forecasting of the Stock Exchange of Thailand (SET) was conducted by using feedforward backpropagation neural networks … neural network models in the forecasting of SET. Several global and local factors influencing the Thai stock market were used …

was therefore set up as a simultaneous estimation and forecasting effort which permitted to integrate various, usually …

This research evaluated forecasting accuracy of hedonic price models based on a number of different submarket … forecasting housing prices with submarkets defined using expert knowledge and by school district and combining information … in an urban setting and surrounding areas in that forecasting models based on expert knowledge of market structure or …

) power flows. The first method involving neural network load forecasting and simultaneous equations can only be applied to … Queensland electricity network with an error of approximately 5%. The second method of forecasting the cutset flows directly from … 10% MAE. Results indicate that the cutset flow forecasting tool is accurate, robust and adaptable to suit the …

This paper examines the forecasting implications for Product-Service Systems (PSS) applications in manufacturing firms … in forecasting approaches between product firms and Product-Service Systems (PSS) in manufacturing firms. The forecasting … forecasting approaches identified raises forecasting challenges for each of the three generic revenue sources. These challenges …