4 papers
Defects and Inconsistencies in Solar Flare Data Sources: Implications for Machine Learning Forecasting
Ke Hu, Kevin Jin, Victor Verma +5
Machine learning models for forecasting solar flares have been trained and evaluated using a variety of data sources, including Space Weather Prediction Center (SWPC) operational a…
Matrix Factorization-Based Solar Spectral Irradiance Missing Data Imputation with Uncertainty Quantification
Yuxuan Ke, Xianglei Huang, Odele Coddington +1
The solar spectral irradiance (SSI) depicts the spectral distribution of solar energy flux reaching the top of the Earth's atmosphere. Daily SSI measurements constitute a matrix wi…
Solar Energetic Particle Forecasting with Multi-Task Deep Learning: SEPNET
Yian Yu, Yang Chen, Lulu Zhao +3
Solar energetic particle (SEP) events pose severe threats to spacecraft, astronaut safety, and aviation operations. Accurate SEP forecasting remains a critical challenge in space w…
On the optimal prediction of extreme events in heavy-tailed time series with applications to solar flare forecasting
Victor Verma, Stilian Stoev, Yang Chen
The prediction of extreme events in time series is a fundamental problem arising in many financial, scientific, engineering, and other applications. We begin by establishing a gene…