Price forecasting has always played a pivotal role in the success of every institution or life course.Electricity price forecasting is one of the key elements among price forecasting.Just like its importance, the difficulties in forecasting will always be imminent like difficulties to handle with huge price and redundancy from feature selection.Eventhough there are multiple existing systems currently available, the proposed system is far more advance as it can predict the future values in time series with ARIMA model.For feature extraction kernel principal component analysis is being used.For feature selection kernel principal component analysis is being used.
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