Deep Learning Under the Clouds: Weather Forecasting Using Keras Model with SimpleRNN for Precision Metrological Insights

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Shivam Kumar; Adarsha Kumar

Deep Learning Under the Clouds: Weather Forecasting Using Keras Model with SimpleRNN for Precision Metrological Insights

Authors: Shivam Kumar, Adarsha Kumar

Unique Paper ID: 168462
Volume: 11
Issue: 5
PageNo: 1158-1164

Keywords: Deep Learning Recurrent Neural Network Adam optimizer Keras Model SimpleRNN RMSprop Optimizer.

Abstract:
Weather forecasting is the software of technology and era to expect the country of the environment for a given region. Ancient climate forecasting techniques usually depend on determined patterns of occasions, additionally termed pattern recognition. Agriculture, transportations, and energy are sectors that depend on heigh resolution weather models, which typically consumes many hours of large Heigh Performance Computing (HPC) systems to deliver timely results. Many users cannot afford to run the desired resolution and are forced to use low resolution output. In this paper we proposed to evaluate a strategy based on a deep learning neural network to learn a heigh-resolution representation from low- resolution predictions using weather forecasting as a practical use case. We take deep learning approach using SimpleRNN method to obtain our output. The device will expect weather based on parameters with temperature, pressor and humidiy.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 5
PageNo: 1158-1164

Deep Learning Under the Clouds: Weather Forecasting Using Keras Model with SimpleRNN for Precision Metrological Insights

Available:https://ijirt.org/article?manuscript=168462

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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