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ISSN 2063-5346
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Enhancing Rainfall Forecasting Efficiency with LSTM-based Model and M-PSO Optimization

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Dr Bhushankumar Nemade1* , Dr. Kamal Shah2 , Dr. Vikas Kaul3 , Pravin Jangid4 ,
» doi: 10.48047/ecb/2023.12.8.626

Abstract

Rainfall is regarded as the key source of a substantial amount of the agriculture sector's economic output. In areas where the amount of rain that falls might be unpredictable, estimating the amount of rain that will fall is vital for designing an effective rainwater collection system and planning for any challenges that may occur. Forecasting heavy rain in modern times is a major worry for the meteorological department due to the fact that it is intricately tied to the economy as well as the mere existence of humans and that it is the root cause of natural disasters such as floods and droughts that take place on a yearly basis all over the world.

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