Predicting Temperature Change in the UAE using Linear Regression and the LSTM Method

The temperature in the UAE is the subject of this investigation that we are carrying out. The paper investigates two techniques for forecasting temperature change in the United Arab Emirates (UAE). The two methods employed in this paper are linear regression and the Long Short-Term Memory (LSTM) method. The research utilizes the FAOSTAT temperature change dataset to study previous temperature changes and make future predictions. A noticeable increase in temperature ranging from 1.5 to 3.6 degrees for the period from 2023 to 2100 was observed when using the prediction models. The UAE's predicted temperature changes were 0.1 to 0.9 degrees Celsius higher than world average predictions.