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Systematic Analysis of Weather Prediction for Jaipur City Dataset Using Deep Learning | IEEE Conference Publication | IEEE Xplore

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 an...Show More

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.
Date of Conference: 05-06 May 2023
Date Added to IEEE Xplore: 08 June 2023
ISBN Information:
Conference Location: Gharuan, India

I. Introduction

The way the weather is can have a significant impact on human lives. The weather affects a significant portion of our day-to-day activities as well as our enterprises. In addition, there has been a significant loss of life as well as property as a direct result of the unforeseen weather circumstances. If we are capable to accurately predicting the weather conditions that will occur in the future, then we will be able to avoid or reduce the severity of these losses. The conditions of the earth’s atmosphere are never exactly the same from one moment to the next. There are many different seasons, including summer, winter, spring, fall, monsoon, and others. The weather is subject to sporadic and unpredictable shifts. This shift in the weather is a rather typical and common occurrence that occurs all across the planet. An Artificial Neural Network (ANN) is a method that may be used to create a digital system that can analyses regional weather patterns that aren’t linear, and then predict future weather based on those patterns.

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References

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