Predicting of Solar Activity Using Machine Learning

Student: Cheshko Georgij

Educational Programme: Machine Learning and Data-Intensive Systems (Master)

Final Grade: 10

Year of Graduation: 2024

Solar activity is one of the key aspects that influences space weather and, as a result, the entire planet Earth. Energy emissions, solar storms and other processes occurring on the Sun can lead to significant consequences for astronauts, terrestrial organisms, and affect ground-based infrastructure, spacecraft, power grids and communication systems that are dependent on space weather conditions. Recently, it has become clear that in order to minimize potential risks and maximize the efficient use of solar energy, it is necessary to improve methods for predicting solar activity.

Full text (added June 2, 2024)

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