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Neural Networks for Operational SYM‐H Forecasting Using Attention and SWICS Plasma Features

Abstract In this work, we present an Artificial Neural Network for operational forecasting of the SYM‐H geomagnetic index up to 2 hr ahead using the Interplanetary Magnetic Field, the solar wind plasma features and previous SYM‐H values. Former works that forecast the SYM‐H index use data measured b...

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Principais autores: Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid
Format: Artigo
Sprog:Inglês
Udgivet: Wiley 2023-08-01
Serier:Space Weather
Fag:
geomagnetic indices forecasting
imputation
machine learning
artificial neural networks
attention
SYM‐H operational
Online adgang:https://doi.org/10.1029/2023SW003485
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