Traditional and neural network methods of forecasting electricity consumption: an overview

The paper provides an overview of traditional and neural network methods for forecasting electricity consumption. A medium-term forecast of electric energy consumption in a 0.4 kV distribution power grid using the statistical forecasting method and the simplest neural network is presented. The analysis of the results showed that the trained neural network produces a more accurate result compared to the statistical forecast.