Application of Neural Networks for Forecasting Energy Security Indicators

Methodological approaches to the use of neural network models for constructing short-term forecasts of energy security indicators and energy balance indicators have been developed. Experimental neural forecast models for 2 years ahead (for 24 points) have been constructed based on actual monthly data during 7 years. The best models for the indicator