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Prediction based Future Electricity Consumption using Data Mining


Rajput Shivpratapsinh , Govt. college of engg. Awasari khurd; Harpale Niranjan, Govt. college of engg. Awasari khurd; Kadam Ganesh, Govt. college of engg. Awasari khurd; Jadhav Shubham, Govt. college of engg. Awasari khurd


Data Mining, Predictive modeling, Artificial Neural Networks, KDD


This paper combined artificial neural network and regression modeling methods to predict electrical load. An approach of Data Mining technique to predict electricity demand of a geographical region based on the meteorological conditions. The value prediction predictive data mining technique is implemented with the Artificial Neural Networks. The values of the factors Such as temperature, humidity and public holiday on which electricity consumption depends and the daily consumption values constitute the data. Data mining operations are performed on this historical data to form a prediction model which is capable of predicting daily consumption provided the meteorological parameters. The steps of knowledge discovery of data process are implemented. The data is preprocessed and fed to neural network for training it. The trained neural network is used to predict the electricity demand for the given meteorological conditions.

Other Details

Paper ID: IJSRDV5I40065
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 76-78

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