Volume - 5 | Issue - 1 | march 2023
Anomaly Detection in Weather Forecasting System
Open Access
Full Article PDF 
257
Pages: 55-64
Cite this article
S, Arul Jothi, and Nandikaa G. "Anomaly Detection in Weather Forecasting System." Journal of IoT in Social, Mobile, Analytics, and Cloud 5, no. 1 (2023): 55-64
DOI
10.36548/jismac.2023.1.004
Published
06 May, 2023
Abstract
Predicting rainfall remains a challenging job in weather forecasting until now. The primary focus of weather forecasting is the prediction of the weather at a specific future period. The objective of this research is to predict the anomaly in multivariate weather prediction dataset. To predict the future weather condition, the variation in the conditions in past years must be utilized. The proposed model uses supervised anomaly detection techniques for weather forecasting system and then compares the results from each technique
KeywordsAnomaly detection Weather forecasting Neural network Bayesian model
