Solar Flare Prediction

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13 shown of 13 papers with code (27 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Predicting Solar Flares Using a Long Short-Term Memory Network
  17 May 2019 2 repositories listed
  The essence of our approach is to model data samples in an AR as time series and use LSTMs to capture temporal information of the data samples.
• Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class Prediction
  6 May 2025 1 repository listed
  By integrating this newly acquired knowledge into future research, more accurate space weather forecasting systems can be developed, along with a deeper understanding of solar physics.
• EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
  18 Nov 2024 1 repository listed
  In heliophysics research, predicting solar flares is crucial due to their potential to impact both space-based systems and Earth's infrastructure substantially.
• Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning
  21 Sep 2024 1 repository listed
  Accurate solar flare prediction is crucial due to the significant risks that intense solar flares pose to astronauts, space equipment, and satellite communication systems.
• Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting
  21 Aug 2024 1 repository listed
  In this paper, we propose a novel loss function aimed at optimizing the binary flare prediction problem by embedding the intrinsic ordinal flare characteristics into the binary cross-entropy (BCE) loss function.
• Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks
  8 Sep 2023 1 repository listed
  In this work, we developed an attention-based deep learning model as an improvement over the standard convolutional neural network (CNN) pipeline to perform full-disk binary flare predictions for the occurrence of ≥M1.
• Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations
  30 Aug 2023 1 repository listed
  This study progresses solar flare prediction research by presenting a full-disk deep-learning model to forecast ≥M-class solar flares and evaluating its efficacy on both central (within ±70°) and near-limb (beyond ±70°)…
• Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting
  4 Aug 2023 1 repository listed
  This paper presents a post hoc analysis of a deep learning-based full-disk solar flare prediction model.
• Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods
  29 Jul 2023 1 repository listed
  This paper contributes to the growing body of research on deep learning methods for solar flare prediction, primarily focusing on highly overlooked near-limb flares and utilizing the attribution methods to provide a…
• Shapelet-Based Counterfactual Explanations for Multivariate Time Series
  22 Aug 2022 1 repository listed
  In this work, we take advantage of the inherent interpretability of shapelets to develop a model agnostic multivariate time series (MTS) counterfactual explanation algorithm.
• Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting
  11 Aug 2022 1 repository listed
  We utilized an equal weighted average ensemble of two base learners' flare probabilities as our baseline meta learner and improved the capabilities of our two base learners by training a logistic regression model.
• Using Multiple Instance Learning for Explainable Solar Flare Prediction
  25 Mar 2022 1 repository listed
  In this work we leverage a weakly-labeled dataset of spectral data from NASAs IRIS satellite for the prediction of solar flares using the Multiple Instance Learning (MIL) paradigm.
• DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction
  4 Sep 2020 1 repository listed
  Solar flare prediction plays an important role in understanding and forecasting space weather.