
handle: 10419/219590
The question of energy supply continuity is essential from the perspective of the functioning of society and the economy today. The study describes modern methods of forecasting emergency situations using Artificial Intelligence (AI) tools, especially neural networks. It examines the structure of a properly functioning model in the areas of input data selection, network topology and learning algorithms, analyzes the functioning of an energy market built on the basis of a reserve market, and discusses the possibilities of economic optimization of such a model, including the question of safety.
Q40, ddc:330, energy supply, security, neural networks, Q47, operating reserve, C53, energy supply, security, neural networks, operating reserve, C45, jel: jel:C53, jel: jel:C45, jel: jel:Q40, jel: jel:Q47
Q40, ddc:330, energy supply, security, neural networks, Q47, operating reserve, C53, energy supply, security, neural networks, operating reserve, C45, jel: jel:C53, jel: jel:C45, jel: jel:Q40, jel: jel:Q47
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
