Is There Techniques for creating synthetic Data for Regression Problem i tried SMOTE and its variant but these are for classification problem

This is my data Volume is my Target variable and all other are Independent variables i just applied labelencoder on Area_categ , wind_direction_labelencod and on current _label_encode and now i want to apply tecnique that increase my dataset rows and colums like in case of classification SMOTE do balance classes.Please give me solution for this if possible with deep learing techniques then please do help us.