English

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

Instrumentation and Methods for Astrophysics 2018-06-25 v1 Solar and Stellar Astrophysics Space Physics

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.

Keywords

Cite

@article{arxiv.1806.08560,
  title  = {FLARECAST: an I4.0 technology for space weather using satellite data},
  author = {Michele Piana and Anna Maria Massone and Federico Benvenuto and Cristina Campi},
  journal= {arXiv preprint arXiv:1806.08560},
  year   = {2018}
}

Comments

IEEE Italy Session - 4th International Forum on Research and Technologies for Society and Industry

R2 v1 2026-06-23T02:38:11.466Z