Grey Wolf-Based Linear Regression Model for Rainfall Prediction

Abstract

This paper develops a rainfall prediction technique, named GWO-based Linear Regression (GWLR) model, using the linear regression model and Grey Wolf Optimizer (GWO). The linear regression model is used to predict the value of a dependent variable from an independent variable on the basis of regression coefficient. The proposed GWLR predicts rainfall based on the input time-series weather data using the proposed GWLR model, in which the regression coefficients are obtained optimally using the GWO. Thus, the rainfall detection is done on the accumulated data of India and the state, Jammu and Kashmir over the years 1901 to 2015. The effectiveness of the proposed GWLR is checked with MSE and PRD values and is evaluated to be the best when compared to other existing techniques with least MSE value as 0.005 and PRD value as 1.700%.