Many models of the near‐Earth's space environment (radiation belts, ionosphere, upper
atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance …

Geomagnetic storms, which are governed by the plasma magnetohydrodynamics of the
solar‐interplanetary‐magnetosphere system, entail a formidable challenge for physical …

Multiple neural network architectures, with different structural composition and complexity,
are implemented in this study with the aim of providing multi-hour-ahead warnings of severe …

Abstract The use of Deep Learning models to forecast geomagnetic storms is achieving
great results. However, the evaluation of these models is mainly supported on generic …

Geomagnetic storms, disturbances of Earth's magnetosphere caused by masses of charged
particles being emitted from the Sun, are an uncontrollable threat to modern technology …

Geomagnetically induced currents (GIC) can drive power outages and damage power grid
components while also affecting pipelines and train systems. Developing the ability to …

Extreme space weather events can have large impacts on ground-based infrastructure
important to technology-based societies. Machine learning techniques based on …

Solar radio flux along with geomagnetic indices are important indicators of solar activity and
its effects. Extreme solar events such as flares and geomagnetic storms can negatively affect …

Severe space weather produced by disturbed conditions on the Sun results in harmful
effects both for humans in space and in high‐latitude flights, and for technological systems …

Geomagnetic indices quantify the disturbance caused by the solar activity on a planetary
scale or in particular regions of the Earth. Among them, the SYM‐H and ASY‐H indices …