Exploration of Climate Data and Temperature Forecasting using Machine Learning

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Authors

Eman AlBalawi

Abstract

In this short communication, a concept has been presented to model geographical data to predict future temperature of Tabuk, region. Machine learning has been applied to the weather station data to develop a prediction model. The preliminary results are promising and encouraging and are envisaging to further this research towards the determination of unknown temperature rise in the region. This is important to mention here, that the problem has been formulated as a Regression problem, NOT as a classification problem. Hence, applying Convolutional neural networks is not possible, due to the non-existence of classes or converting the temperature values to classes does not make any sense. Hence, this is defined as a regression problem which achieved encouraging desirable results.

DOI

https://doi.org/10.31223/X5D69M

Subjects

Life Sciences, Physical Sciences and Mathematics

Keywords

machine learning, Geographical data, Temperature prediction, temperature

Dates

Published: 2024-06-28 02:51

Last Updated: 2024-06-28 09:51

License

CC BY Attribution 4.0 International