Abstract: A method includes receiving a plurality of data sets, wherein the plurality of data sets includes a measured low-energy electrons that is less than or equal to 1.5 MeV, and wherein the plurality of data sets further includes data associated with solar wind. The method further includes receiving measured data associated with higher electron events of greater than or equal to 2 MeV In response to a selection of at least two data sets from the plurality of data sets, and further in response to a selection of one or more machine learning (ML) algorithms from a plurality of ML algorithms, and further in response to a selection of a number of window size, a plurality of ML models is generated based on the selections as an input and the measured data associated with higher electron events of greater than or equal to 2 MeV as its output.