Prediction of Rainfall and its Affecting Factors using Machine Learning
Author(s):
Kajal Gangele, Priyanka Karande , Ashwini Thappa , Sujata Kullur
Keywords:
Rainfall, Temperature, humidity, wind speed, pressure, Time series, forecasting, ARIMA, Holt Winter’s Expo- nential Smoothing, and Prophet
Abstract
Predicting rainfall is the most difficult aspect of weather forecasting. Accurate rainfall forecasting is now more challenging than ever because of significant climatic changes. So, it is essential to study how rain acts in connection to the variables • namely, temperature, humidity, pressure, and wind speed. Then, and only then, will we be able to accurately predict the rain. Forecasting is the process of using past data to create assumptions about future variations in rainfall amounts. Furthermore, time forecasting is concerned with the creation of models and methods that lead to precise forecasts and predictions. This study, which is a survey, used a thorough mapping study and a methodical literature review. The most popular linear time series models used in time series forecasting are ARIMA, Prophet, and Holt Winter’s Exponential Smoothing, which have been around for a while due to their high predicting accuracy and will be employed in this study. The major objective of this project is to raise an understanding of time series forecasting and its techniques and to develop a system that not only forecasts rainfall but also the variables that influence it.
Article Details
Unique Paper ID: 159482

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 11 - 16
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers