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Security Assessment And Optimization Of Energy Supply (Neural Networks Approach)

Author

Listed:
  • Tomasz Jasinski

    (Lodz University of Technology)

  • Agnieszka Scianowska

    (Lodz University of Technology)

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.

Suggested Citation

  • Tomasz Jasinski & Agnieszka Scianowska, 2015. "Security Assessment And Optimization Of Energy Supply (Neural Networks Approach)," Oeconomia Copernicana, Institute of Economic Research, vol. 6(2), pages 129-141, June.
    • Handle: RePEc:pes:ieroec:v:6:y:2015:i:2:p:129-141
    DOI: 10.12775/OeC.2015.016
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    More about this item

    Keywords

    energy supply; security; neural networks; operating reserve;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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