Modeling the National Power System Using Artificial Neural Networks

Authors

DOI:

https://doi.org/10.34739/si.2025.32.06

Keywords:

National Power System, modeling of the power system, power system as an intelligent system, analysis of selected sizes of the power system, Perceptron network, Recurrent network, LSTM network

Abstract

The purpose of this paper is to investigate and demonstrate the potential of modeling the National Power System (NPS) in Poland. The paper presents the results of research modeling of the NPS system using three different models based on Artificial Neural Networks. Data characterizing the NPS were implemented to build the models. The results measured by Mean Squared Error and determination coefficient were presented and analyzed. The research results and conclusions are presented in the summary.

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Published

08.11.2025

Issue

Vol. 32 No. 1 (2025): Studia Informatica. Systems and Information Technology

Section

Article

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Copyright (c) 2025 Studia Informatica. System and information technology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Ruciński, D., & Tchórzewski, J. (2025). Modeling the National Power System Using Artificial Neural Networks. Studia Informatica. System and Information Technology, 32(1), 77-91. https://doi.org/10.34739/si.2025.32.06