---
title: Transformers for Solar Flare Forecasting
url: https://www.ml-quant.com/papers/ssrn/4983283/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4983283
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4983283
featured: 2024-10-17
citations: unknown
topic: Econometrics & Forecasting
---


# Transformers for Solar Flare Forecasting

The paper examines the use of machine learning algorithms, specifically Transformers, to predict solar flares and lessen their impact on Earth.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4983283
- Identifier: SSRN 4983283
- Released: 2024-10-11
- First featured: Quant Letter No. 70 (2024-10-17): https://www.ml-quant.com/issues/2024-10-17/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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