To address the problem of forecasting solar irradiance for grid operators, the aim of this work is to automatically predict solar irradiance several minutes in advance.
Then, it is applied to the problem of forecasting Mackey Glass time series corrupted by two kinds of noise sources: (1) stationary and (2) non-stationary additive noises.
We address the problem of forecasting sales for fresh and highly perishable products, in the general context of supply chain management.
The BFNN is applied to the problem of forecasting Mackey Glass chaotic time series under different SNRs and different chaotic degrees.
Nevertheless, if one addresses the problem of forecasting it can be seen that the ES model outperforms the ARMA-GARCH model without exogenous variables, being also, even if by a few percentage, better than the ARMA-GARCH with exogenous variables.
We approach the problem of forecasting transnational terrorism from a network analytic perspective with the supposition that the structure of the transnational terrorist network may be the best predictor of its own evolution.
Solda et al. [24] gave a solution for blacklisting attacks; in these papers, they studied the problem of forecasting attack sources based on past attack logs from several contributors.
These authors considered the practical problem of forecasting the yield curve by studying variations on the NS framework to model the entire yield curve, period by period, as a three-dimensional parameter evolving dynamically.
Using different econometric models, Diebold and Li (J Econom 130 337 364, 2006) addressed the practical problem of forecasting the yield curve by predicting the factors level, slope and curvature in the Nelson Siegel framework.
Next, we go back to the analyst's problem of forecasting the gross output values in constant prices (and the corresponding employment levels) that are required for a new final demand f 1 in current prices.
