proposed model. Hence, this model can be used as a promising tool for financial forecasting. …

component model forecast weights, which is a novel approach introduced by this study. The data set employed includes a time … forecasts of all models (component and combining), mean absolute percentage forecast errors (MAPE) are calculated and model … their hedging decisions on a combination of forecasts generated by ARIMA-TF and ANN models, with the forecast weights …

The accurate forecasting of short-term load for urban gas is the premise of gas supply sales, pipe network planning … (FFOA), simulated annealing algorithm (SA), cross factor (CF) and support vector machine (SVM) to forecast the short … the results with the other four forecasting methods such as back-propagation neural network (BPNN) and autoregressive …