Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Applying Forecasting to Fusion Databases
verfasst von : Gonzalo Farias, Sebastián Dormido-Canto, Jesús Vega, Norman Díaz
Erschienen in: Statistical Learning and Data Sciences
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This manuscript describes the application of four forecasting methods to predict future magnitudes of plasma signals during the discharge. One application of the forecasting could be to provide in advance signal magnitudes in order to detect in real-time previously known patterns such as plasma instabilities. The forecasting was implemented for four different prediction techniques from classical and machine learning approaches. The results show that the performance of predictions can get a high level of accuracy and precision. In fact, over 95 % of predictions match the real magnitudes in most signals.