Systematic Analysis of Weather Prediction for Jaipur City Dataset Using Deep Learning

Abstract

Several decades past but the traditional weather forecasting is still not accurate to forecast the weather conditions accurately. Due to the fact that the agricultural and industrial sectors are mostly dependent on the weather conditions, accurate weather forecasting plays a significant role in the modern world. Additionally, it is utilized in the analysis and forecasting of natural disasters. Weather forecasting is the process of finding the proper values for various meteorological components and, additionally, the circumstances of the approaching weather based on these parameters. In this study, the Deep Learning techniques of Linear Regression (LR) and Deep Neural Networks (DNN) are applied to the analysis of the weather forecasting system for the Jaipur district in Rajasthan, India in order to reach a greater level of accuracy. The results that were achieved by utilizing this model are compared and examined using mean absolute error and median absolute error, which measure the difference between the actual values and the values that were predicted.