Historical study of solar activity using low frequency spectroscopy and Machine learning

Solar storms (eruptions) are discharges of mass and energy from the Solar photosphere. The charged particles can generate a magnetic field and influence compass reading, provoking voltage surge in electrical power and power outages. Using the public data Archive of different telescopes at low frequency from 17MHz to 23 MHz we created a database of the last 50 years of activity for the Sun with undergraduate students.The database was completed with machine learning to know the next 50 years to obtain a total of 100 years of solar storms activity. In the present work we present the results of the past and future of the activity for the Sun using the past observations and machine learning.