Time Series Forecasting for Average Temperature with the Long Short-Term Memory Network in Deli Serdang Geophysics Station

Nora Valencia Sinaga; Feriomex Hutagalung; Martha Manurung; Eva Darnila

doi:10.53842/x2tzpb02

Time Series Forecasting for Average Temperature with the Long Short-Term Memory Network in Deli Serdang Geophysics Station

Authors

Nora Valencia Sinaga Indonesian Agency for Meteorological, Climatological and Geophysics Author
Feriomex Hutagalung Indonesian Agency for Meteorological, Climatological and Geophysics Author
Martha Manurung Indonesian Agency for Meteorological, Climatological and Geophysics Author
Eva Darnila Department of Informatics, Universitas Malikussaleh, Lhokseumawe Author

DOI:

https://doi.org/10.53842/x2tzpb02

Keywords:

Forecasting, LSTM, Average Temperature

Abstract

An understanding of trends analysis, and prediction of time series of average temperature as one of parameter weather and climate data for climate variables. It is the central process in assessing the state of the climate of a region and provides an overall estimate about the variations in the climate variables. Explore weather trends using normal and local yearly average temperatures, compare and make observations. In this study, we try to analyze local and normal average temperature data in Deli Serdang geophysc Station based on observation station in situ. The main goal of this study to compare the normal temperature to local station and to predict the average temperature data in BMKG Geophysics Station, Deli Serdang, North Sumatra using Long Short-Term Memory Model (LSTM). Based on the result of normal data science of exploring temperature with local temperature correlation, we got the display of training curve, residual plot and the scatter plot are shown using these codes. Based on the temperature series data from Geophysic station, the MSE value is 0.83 and the R2 value is 0.86.

Author Biographies

Nora Valencia Sinaga, Indonesian Agency for Meteorological, Climatological and Geophysics

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Feriomex Hutagalung, Indonesian Agency for Meteorological, Climatological and Geophysics

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Martha Manurung, Indonesian Agency for Meteorological, Climatological and Geophysics

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Eva Darnila, Department of Informatics, Universitas Malikussaleh, Lhokseumawe

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Published

01-10-2021

Data Availability Statement

Issue

Vol. 1 No. 2 (2021): Journal of Computation Physics and Earth Science

Section

Articles

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How to Cite

Time Series Forecasting for Average Temperature with the Long Short-Term Memory Network in Deli Serdang Geophysics Station. (2021). Journal of Computation Physics and Earth Science (JoCPES), 1(2). https://doi.org/10.53842/x2tzpb02