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FLARECAST: An I4.0 Technology for Space Weather Using Satellite Data

Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
flare prediction; machine learning; solar flares; space weather
List of contributors:
Piana, Michele; Massone, Annamaria
Handle:
https://iris.cnr.it/handle/20.500.14243/426115
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http://www.scopus.com/inward/record.url?eid=2-s2.0-85060055648&partnerID=q2rCbXpz
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