In the published simulation studies on greenhouse climate control that employ optimal control, often non-realistic weather forecasts are employed, e.g. realisation of or artificially created used. This research aims to quantify effect forecast errors performance controlled system measured in terms operational return. The return is defined as difference between cost resources (resourceuse×cost) ...

Long-term forecasting is a big challenge for the regional modelling, since only a few years of panel data are available on a regional basis. Furthermore, traffic dependent models must be developed to explore the sensitivity of travelling times on the socio-demographic variables of a region. Using the sophisticated model choice procedure BMA (Bayesian model averaging, see Raftery et al. 1997) fo...

This paper is a case study on how pharmaceuticals are prescribed on the NHS in the UK. The paper discusses the modelling and forecasting of pharmaceutical life cycles, specifically around after the time of patent expiry. In this situation one of two things can occur the branded pharmaceutical sales remain high while the generic are low, the alternative is when the branded drug declines and stay...

This paper introduces a novel data-driven methodology named Evolutionary Polynomial Regression (EPR), which permits the multi-purpose modelling of physical phenomena, through the simultaneous solution of a number of models. Multipurpose modelling or “multi-modelling”, enables the user to make a more robust choice of those models aimed at (a) the knowledge based on data modelling, (b) on-line an...

Gold price forecast is of great importance. Many models were presented by researchers to forecast gold price. It seems that although different models could forecast gold price under different conditions, the new factors affecting gold price forecast have a significant importance and effect on the increase of forecast accuracy. In this paper, different factors were studied in comparison to the p...

Forecasting of hydrologic time series, with the quantification of uncertainty, is an important tool for adaptive water resources management. Nonstationarity, caused by climate forcing and other factors, such as change in physical properties of catchment (urbanization, vegetation change, etc.), makes the forecasting task too difficult to model by traditional Box–Jenkins approaches. In this paper...

Historically, the design of the in-stope pillar in underground excavations has been based on empirical formulae and numerical modelling. Although these design methods have been extensively applied in several gold mines in South Africa, rockburst, in-stope pillar burst/failure are continuously reported as the major problem faced by mines. Therefore, this study attempts to compare the performance...