Analysis of Arima Model for Weather Forecasting in the Assam District

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Author(s): Saurav Bhattacharjee (Kamrup Polytechnic, India)and Sabiha Raiyesha (Kamrup Polytechnic, India)
Copyright: 2024
Pages: 14
Source title: Critical Approaches to Data Engineering Systems and Analysis
Source Author(s)/Editor(s): Abhijit Bora (Assam Don Bosco University, India), Papul Changmai (Assam Don Bosco University, India)and Mrutyunjay Maharana (Xi’an Jiatong University, China)
DOI: 10.4018/979-8-3693-2260-4.ch004

Keywords: Computer Engineering / Data Warehousing / Information Science Reference / Library & Information Science

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Abstract

Weather forecasting is a scientific method that involves the prediction of atmospheric conditions at a specific geographic location. The increased volatility over the last decade is owing to an enormous rise in water used for irrigation application throughout agricultural area, much of which evaporates, necessitating accurate forecasting in order to take essential safeguards. In this chapter, an attempt is made to predict the average temperature and maximum temperature through machine learning models. The daily temperature data from 1970 to 2022 were collected from the National Centre of Environmental Information (NCEI). The ARIMA model is used to predict the weather data sets of Tezpur, Assam. Previous conventional models are insufficient to predict forecasting precisely. So statistical models and auto-regressive models are programmed and compared.

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Analysis of Arima Model for Weather Forecasting in the Assam District

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