[HTML][HTML] Prediction of solar energetic events impacting space weather conditions

MK Georgoulis, SL Yardley, JA Guerra… - Advances in Space …, 2024 - Elsevier
Aiming to assess the progress and current challenges on the formidable problem of the
prediction of solar energetic events since the COSPAR/International Living With a Star …

How to train your flare prediction model: Revisiting robust sampling of rare events

A Ahmadzadeh, B Aydin, MK Georgoulis… - The Astrophysical …, 2021 - iopscience.iop.org
We present a case study of solar flare forecasting by means of metadata feature time series,
by treating it as a prominent class-imbalance and temporally coherent problem. Taking full …

Signature of the turbulent component of the solar dynamo on active region scales and its association with flaring activity

VI Abramenko - Monthly Notices of the Royal Astronomical …, 2021 - academic.oup.com
It is a challenging problem to obtain observational evidence of the turbulent component of
solar dynamo operating in the convective zone because the dynamo action is hidden below …

Properties of flare-imminent versus flare-quiet active regions from the chromosphere through the corona. II. Nonparametric discriminant analysis results from the …

KD Leka, K Dissauer, G Barnes… - The Astrophysical …, 2023 - iopscience.iop.org
A large sample of active-region-targeted time-series images from the Solar Dynamics
Observatory/Atmospheric Imaging Assembly (AIA), the AIA Active Region Patch database …

Flare-forecasting algorithms based on high-gradient polarity inversion lines in active regions

D Cicogna, F Berrilli, D Calchetti… - The Astrophysical …, 2021 - iopscience.iop.org
Solar flares emanate from solar active regions hosting complex and strong bipolar magnetic
fluxes. Estimating the probability of an active region to flare and defining reliable precursors …

A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems

SSW Fatima, A Rahimi - Machines, 2024 - mdpi.com
Time-series forecasting is crucial in the efficient operation and decision-making processes of
various industrial systems. Accurately predicting future trends is essential for optimizing …

Feature selection on a flare forecasting testbed: a comparative study of 24 methods

A Yeolekar, S Patel, S Talla… - … Conference on Data …, 2021 - ieeexplore.ieee.org
The Space-Weather ANalytics for Solar Flares (SWAN-SF) is a multivariate time series
benchmark dataset recently created to serve the heliophysics community as a testbed for …

Short-term solar eruptive activity prediction models based on machine learning approaches: A review

X Huang, Z Zhao, Y Zhong, L Xu, MB Korsós… - Science China Earth …, 2024 - Springer
Solar eruptive activities, mainly including solar flares, coronal mass ejections (CME), and
solar proton events (SPE), have an important impact on space weather and our …

Research progress on solar flare forecast methods based on data-driven models

K Han, MY Yu, JF Fu, WB Ling, D Zheng… - … in Astronomy and …, 2023 - iopscience.iop.org
Eruption of solar flares is a complex nonlinear process, and the rays and high-energy
particles generated by such an eruption are detrimental to the reliability of space-based or …

Two-stage Hierarchical Framework for Solar Flare Prediction

H Deng, Y Zhong, H Chen, J Chen… - The Astrophysical …, 2023 - iopscience.iop.org
Solar flares, often accompanied by coronal mass ejections and other solar phenomena, are
one of the most important sources affecting space weather. It is important to investigate the …