“…time-series) modeling as they allow us to consider independent parameters associated with physical sources contributing to the magnetic measurements. Neural networks have increasingly been used for spaceweather related applications including prediction of magnetic activity indices (e.g., Wu & Lundstedt, 1996;Kumluca et al, 1999;Stepanova & Pérez, 2000;Wintoft & Cander, 2000;Lundstedt et al, 2002;Uwamahoro & Habarulema, 2014;Shin et al, 2016;Zhelavskaya et al, 2017;Tebabal et al, 2018;Efitorov et al, 2018;Gruet et al, 2018;Jackson et al, 2020;Zou et al, 2020;Chakraborty & Morley, 2020;Myagkova et al, 2021;Abuelezz et al, 2021;Siciliano et al, 2021;Collado-Villaverde et al, 2021;Madsen et al, 2022;Zhang et al, 2022;Huang et al, 2022;Bernoux et al, 2022;Collado-Villaverde et al, 2023;Vladimirov et al, 2023). We will demonstrate the capability of our newly developed neural networks during quiet periods as well as disturbed periods and discuss future applications.…”