Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7936285 | Solar Energy | 2017 | 13 Pages |
Abstract
Furthermore, a method to estimate the forecast error was also developed. It was based on an ensemble neural network model coupled with a probabilistic correction. It can provide a highly reliable computation of the prediction intervals.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Marco Pierro, Matteo De Felice, Enrico Maggioni, David Moser, Alessandro Perotto, Francesco Spada, Cristina Cornaro,