In this study paper, the feasibility of constructing a complete smart system for anticipating
electrical power consumption is created, as electricity's market share is expected to expand
over the future decades. Smart grids and smart meters will help utility companies and their
customers soon. New services and businesses in energy management need software
development and data analytics skills. New services and enterprises are competitive. The
project's electricity consumers are categorized by their hourly power usage percentage. This …

In this research, data mining techniques that included the deep learning with different
scenario is presented for predicting electrical energy consumption data. Energy of the
features are implemented and calculated from the electrical energy consumption data.
Different scenario with neuron numbers for artificial neural network are investigated and
analyzed. Also the results are compared with other k-fold numbers of the data. The results of
proposed method shows that the proposed methods has high accuracy and high …