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SECURITY ASSESSMENT AND OPTIMIZATION OF ENERGY SUPPLY (NEURAL NETWORKS APPROACH)

Tomasz Jasinski () and Agnieszka Scianowska ()
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Tomasz Jasinski: Lodz University of Technology
Agnieszka Scianowska: Lodz University of Technology

Oeconomia Copernicana, 2015, vol. 6, issue 2, pages 129-141

Abstract: 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.

Keywords: energy supply; security; neural networks; operating reserve (search for similar items in EconPapers)
JEL-codes: Q40 Q47 C45 C53 (search for similar items in EconPapers)
Date: 2015
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Oeconomia Copernicana is currently edited by Adam P. Balcerzak and Michal Moszynski

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