Work

Application of Neural Networks for Forecasting Energy Security Indicators

Year: 2024

Type: article

Abstract: 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

Source: International Journal of Scientific Engineering and Research

DOI: 10.70729/se241113181517

Authors: Elena Bykova, Irina Vasiliev, Valeriu Bosneaga, Victor Suslov

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Affordable and clean energy

Open Access status: hybrid

OpenAlex ID: W4405125672

FWCI: 0.316

Cites:

Cited by: 1

Related to: 10