Forecasting plays an essential role in energy economics. With new challenges and use cases in the energy system …

forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions … the algorithm in forecasting GDP growth 3- to 12-months ahead is assessed through simulations in pseudo-real-time for six …

In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN …

characteristics. We find that wavelets do improve the forecasting quality. Depending on the data's characteristics and on the … incorporating the wavelet transform in existing forecasting methods can improve their quality. The article aims to verify this by … forecasting horizon we either favour a denoising step plus an ARIMA forecast or an multiscale wavelet decomposition plus an ARIMA …

forecasting daily electricity prices in two of the main European markets, Germany and Italy. We do that by means of mixed …-frequency models, introducing a Bayesian approach to reverse unrestricted MIDAS models (RU-MIDAS). We study the forecasting accuracy …