At present, there is no suitable instrument available to simulate modeling the thermal performance of various areas of our states due to its complicated meteorological behavior. To accurately predict the heatwave, we studied the research gaps and the currently ongoing research on the prediction of heatwaves. For the prediction of heatwave accurately, we had considered two soft computing concepts, a. Rough Set Theory (RST) and b. Support Vector Machine. All the ongoing research on the prediction of heatwaves is based on the future prediction with an error margin. All the available techniques use a particular pattern of heatwave data, and these methods do not apply to vague data. This paper used an innovative RST and SVM technique, which can be applied to vague and imprecise data sets to produce the best outcomes. These outcomes are validated using a statistical method.

Heat Wave, Rough Set Theory, Support Vector Machine, Soft Computing, Statistical method.