A Deep Learning Model Based on Multi-Head Attention for Long-Term Forecasting of Solar Activity

A Deep Learning Model Based on Multi-Head Attention for Long-Term Forecasting of Solar Activity

The accurate long-term forecasting of solar activity is crucial in the current era of space explorations and in the study of planetary climate evolution. With timescales of about 11 years, these forecasts deal with the prediction of the very general features of a solar cycle such as its amplitude, p...

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Bibliographic Details
Main Authors: Adriana Marcucci, Giovanna Jerse, Valentina Alberti, Mauro Messerotti
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Engineering Proceedings
Subjects:
solar activity forecasting
solar radio index
deep learning
multivariate prediction
time series forecasting
multi-attention
Online Access:https://www.mdpi.com/2673-4591/39/1/16

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