Household Electricity Power Consumption Prediction Using CNN-GRU Techniques

The demand for electricity power consumption (PC) is growing lots due to the upward thrust of hardware and the development of the population. Hence it is mandatory to predict energy to enhance its management and co-operation among the energy utilized in a construction and the power grid. There is a problem for predicting the Energy Consumption Prediction (ECP) due to tremendous problems like climate conditions and the effective behaviour of tenants. We present a keen crossover approach that joins Convolutional Neural Network (CNN) with Gated Recurrent Unit (GRU) method which is a Deep Learning technique through three steps which achieves better prediction results when compared to other existing techniques.