Weather Prediction Using Machine Learning Algorithms

Aiswarya Shaji, A.R Amritha, V.R Rajalakshmi

20222022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)19 citationsDOI

Abstract

Weather forecasts have grown increasingly significant in recent years since they can save us time, money, property, or even our lives. Despite the fact that India has a large number of weather stations, they are mainly located in inhabited regions such as cities, suburbs, or towns. This makes weather forecasting in isolated regions more imprecise, which can be inconvenient for individuals such as farmers who rely largely on weather reports in their daily work. In this paper, we are predicting the weather by analyzing features like temperature, apparent temperature, humidity, wind speed, wind bearing, visibility, cloud cover with Random Forest, Decision Tree, MLP classifier, Linear regression, and Gaussian naive Bayes are examples of machine learning methods. Based on the results obtained a comparative study is done concerning the accuracy.

Topics & Concepts

Random forestWeather predictionMachine learningDecision treeNaive Bayes classifierWeather forecastingArtificial intelligenceWind speedComputer scienceModel output statisticsMeteorologyCloud coverWeather Research and Forecasting ModelVisibilitySupport vector machineAlgorithmCloud computingGeographyOperating systemEnergy Load and Power ForecastingHydrological Forecasting Using AIStock Market Forecasting Methods