Sunspot Time Series Forecasting using Deep
Learning

Dublin Core

Title

Sunspot Time Series Forecasting using Deep
Learning

Subject

order to forecast solar cycle 25

Description

Abstract:In order to forecast solar cycle 25, sunspot numbers(SSN) from
1700  2018 was used as a time series to predict the next eleven years.
deep long short-term memory(LSTM) was exploited to do the forecast, rst
the dataset was split into training set(80%) and (20%) for the test set, the
achieved accuracy led us to forecast the next eleven years. The result shows
that the cycle will be from 2019  2029 with peak at 2024.

Creator

Mahmoud Elgamal

Source

www.ijcit.com

Date

March 2020

Contributor

peri irawan

Format

pdf

Language

english

Type

text

Files

Citation

Mahmoud Elgamal, “Sunspot Time Series Forecasting using Deep
Learning,” Repository Horizon University Indonesia, accessed May 23, 2025, https://repository.horizon.ac.id/items/show/8892.