Showing 1 - 10 of 177
To improve the forecasting accuracies, researchers have long been using various combination techniques. In particular …, the use of dissimilar methods for forecasting time series data is expected to provide superior results. Although numerous …
Persistent link: https://www.econbiz.de/10011823167
This research presents a comparative analysis of the wind speed forecasting accuracy of univariate and multivariate …
Persistent link: https://www.econbiz.de/10010597670
Statistical Learning refers to statistical aspects of automated extraction of regularities (structure) in datasets. It is a broad area which includes neural networks, regression-trees, nonparametric statistics and sieve approximation, boosting, mixtures of models, computational complexity,...
Persistent link: https://www.econbiz.de/10008691632
This paper presents a comparison of various forecasting approaches, using time series analysis, on mean hourly wind …
Persistent link: https://www.econbiz.de/10010803768
The increasing interest aroused by more advanced forecasting techniques, together with the requirement for more … evaluate the forecasting performance of neural modelling relative to that of time series methods at a regional level … compare the forecasting performance of linear models to that of nonlinear alternative approaches. Pre-processed official …
Persistent link: https://www.econbiz.de/10010729816
In this paper, alternative non-parametric forecasting techniques are analysed, with emphasis placed on the difference … techniques are applied to the forecasting of Spanish unemployment, first one step -forecasting and second using a longer time …
Persistent link: https://www.econbiz.de/10010866811
observations making intermittent demand forecasting challenging. Forecast errors can be costly in terms of unmet demand or … obsolescent stock. Intermittent demand forecasting has been addressed using established forecasting methods, including simple … forecasting accuracy and inventory metrics. The findings of forecasting and inventory metrics are conflicting. While NNs achieved …
Persistent link: https://www.econbiz.de/10010664218
This paper presents a novel method for the forecasting of mean hourly wind speed data using time series analysis. The … initial point for this approach is mainly the fact that none of the forecasting approaches for hourly data, that can be found … finally proposed methodology is based on the multi-step forecasting of 10 minutes averaged data and the subsequent averaging …
Persistent link: https://www.econbiz.de/10010806846
The objective of this paper is to compare different forecasting methods for the short run forecasting of Business … Survey Indicators. We compare the forecasting accuracy of Artificial Neural Networks (ANN) vs. three different time series … (SETAR). We consider all the indicators of the question related to a country’s general situation regarding overall economy …
Persistent link: https://www.econbiz.de/10010710596
The objective of this paper is to compare different forecasting methods for the short run forecasting of Business … Survey Indicators. We compare the forecasting accuracy of Artificial Neural Networks (ANN) vs. three different time series … (SETAR). We consider all the indicators of the question related to a country’s general situation regarding overall economy …
Persistent link: https://www.econbiz.de/10010710607