Keep an eye on global temperature changes
DOI:
https://doi.org/10.56028/aetr.5.1.433.2023Keywords:
ARIMA, LSTM, Polynomial Fitting, Linear regression, Global Warming.Abstract
With the progress of industrialization, more and more factories are being built, and these factories are emitting more and more CO2. It is worth noting that the global temperature is also increasing at a certain rate. In this paper, we explore the relationship between CO2 and temperature by building different predictive models to predict their changes. we found that there may be a linear relationship between them, so we built a linear regression model to describe the relationship between them. According to the established linear regression model, we can predict the change in land-ocean temperature by predicting the concentration of CO2.
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Published
2023-05-06