Approach to Forecasting of Utility Costs Using Neural Networks

The work is devoted to the study of the problem of increasing the cost of utilities and finding ways to predict them in order to reduce the cost of payment for consumed services. As the result of researching has developed a cost forecasting approach, designed and partially developed a software system based on the specified approach using neural network.