Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine Learning Methods. (arXiv:2209.13779v1 [astro-ph.SR])

Solar flares, especially the M- and X-class flares, are often associated with
coronal mass ejections (CMEs). They are the most important sources of space
weather effects, that can severely impact the near-Earth environment. Thus it
is essential to forecast flares (especially the M-and X-class ones) to mitigate
their destructive and hazardous consequences. Here, we introduce several
statistical and Machine Learning approaches to the prediction of the AR's Flare
Index (FI) that quantifies the flare productivity of an AR by taking …

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