Due to lack of Electricity generation, managing customer demand for energy in India is a difficult task. In order to satisfy the customer demand, Renewable Energy can be introduced for each house to meet out the demand. This paper tries to predict the energy consumption of a house by considering 10 years of data. The Back Propagation neural network prediction method is used widely for this purpose because of its high plasticity and simple structure. The proposed work uses Feed-Forward BackPropagation and Elman BackPropagation Network to predict the demand for electricity consumption. In both two networks are computed were correlation coefficient values and Sum of Square Errors. The result obtained shows FeedForward BackPropagation Network gives better predicts of energy demand.

Energy Prediction, Energy, Electricity Consumption, Neural Network

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