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Short Term Load Forecasting

Satyabrata Pradhan


Main goal of this project is to analyze the effects of different Statistical Approaches to the field of Load Forecasting. Various methods like Regression Analysis, Residual Analysis, Variable Transformation and Sampling Distributions are being used to forecast the Load series. These methods are useful, when forecasted values depend upon many exogenous variables. Improvising the selection of predictors using Backward Elimination and Outlier Removal procedures, to get better forecasting model in terms of MAPE, is the other main aspect of this Project.

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