“…Linear regression, a basic yet famous forecasting technique, was used to forecast the sales of a big superstore with an accuracy rate of 84% [6]. According to Ramachandra [7], when the dataset was balanced and using random forest regressor, it let them anticipate nonlinear trends and estimate black Friday sales with an 83.6% accuracy. XGBoost, another nonlinear algorithm, forecasts the short-term power load in [8].…”