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FLARECAST: an I4.0 technology for space weather using satellite data

Authors :
Piana, Michele
Massone, Anna Maria
Benvenuto, Federico
Campi, Cristina
Publication Year :
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.<br />Comment: IEEE Italy Session - 4th International Forum on Research and Technologies for Society and Industry

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1806.08560
Document Type :
Working Paper