HOUSEHOLD ELECTRICITY LOAD FORECASTING TOWARD DEMAND RESPONSE PROGRAM USING DATA MINING TECHNIQUES IN A TRADITIONAL POWER GRID

Abstract

… In this paper a new methodology is suggested using a combination of data mining techniques namely K-means clustering, K-Nearest Neighbors (K-NN) classification and ARIMA for electricity load forecasting using consumers’ electricity prepaid bills data set of an ordinary …