Data di Pubblicazione:
2018
Abstract:
'Flare Likelihood and Region Eruption Forecasting (FLARECAST)' is a Horizon 2020 project, which realized a technological platform for machine learning algorithms, with the objective of providing the space weather community with a prediction service for solar flares. This paper describes the FLARECAST service and shows how the methods implemented in the platform allow both flare prediction and a quantitative assessment of how the information contained in the space data utilized in the analysis may impact the forecasting process.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
flare prediction; machine learning; solar flares; space weather
Elenco autori:
Piana, Michele; Massone, Annamaria
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