Indonesian Journal of Electrical Engineering and Computer Science
Vol 36, No 3: December 2024

Artificial intelligence-based weather prediction framework using neural networks

Kaushik, Keshav (Unknown)
Chhabra, Gunjan (Unknown)
Bharany, Salil (Unknown)
Rehman, Ateeq Ur (Unknown)
Hamam, Habib (Unknown)



Article Info

Publish Date
01 Dec 2024

Abstract

For humans, weather prediction is vital in making rational everyday choices and avoiding risk. Accurate weather forecasting is regarded as one of the world’s most difficult issues. New weather forecasting, unlike conventional techniques, relies on a mixture of computer simulations, observation (via balloons and satellites), and information of patterns and trends (via local weather analysts and weather stations). Predictions are rendered with fair precision using such techniques. Prediction algorithms based on complicated formulas run the majority of computational models used for prediction. This paper highlights the prediction of weather with the artificial neural networks (ANN) using the latest available smart computing devices. To assess the effectiveness of the model, comparison research is conducted with the other existing models in the same area. The result demonstrates that our approach is better in comparison to other similar research and products. The comparative analysis has been undergone which confirms the superiority of our proposed techniques with an accuracy of 90.4%.

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