Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/355914
Type: Artigo
Title: A framework for designing and evaluating solar flare forecasting systems
Author: Cinto, T
Gradvohl, ALS
Coelho, GP
Silva, A E A da
Abstract: Disturbances in space weather can negatively affect several fields, including aviation and aerospace, satellites, oil and gas industries, and electrical systems, leading to economic and commercial losses. Solar flares are the most significant events that can affect the Earth’s atmosphere, thus leading researchers to drive efforts on their forecasting. The related literature is comprehensive and holds several systems proposed for flare forecasting. However, most techniques are tailor-made and designed for specific purposes, not allowing researchers to customize them in case of changes in data input or in the prediction algorithm. This paper proposes a framework to design, train, and evaluate flare prediction systems which present promising results. Our proposed framework involves model and feature selection, randomized hyperparameters optimization, data resampling, and evaluation under operational settings. Compared to baseline predictions, our framework generated some proof-of-concept models with positive recalls between 0.70 and 0.75 for forecasting ≥M class flares up to 96 h ahead while keeping the area under the ROC curve score at high levels
Subject: Análise de dados
Sol
Country: Reino Unido
Editor: Oxford University Press
Rights: Fechado
Identifier DOI: 10.1093/mnras/staa1257
Address: https://academic.oup.com/mnras/article/495/3/3332/5835694
Date Issue: 2020
Appears in Collections:FT - Artigos e Outros Documentos

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