What does this research mean for the field?

National power systems integrating increasing renewable energy and electricity savings can be highly accurately modeled using ARX and MLP neural networks, revealing that conventional and renewable energy subsystems are fully observable and controllable. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.ESTABLISHES_NEW_DIRECTION.

What question did this study set out to answer?

This study aims to model the power system as an intelligent control system under increasing renewable energy production and electricity savings.

May 4, 2026ElectronicsOpen Access

Study of the National Power System in the Context of Intelligent Systems Under Conditions of Increasing Renewable Energy Production and Electricity Savings

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This study aims to model the power system as an intelligent control system under increasing renewable energy production and electricity savings.
Utilized data from 1990-2024 in MATLAB and Simulink environment.
Developed regression ARX and multilayer perceptron models for system modeling.
Analyzed performance metrics including MAPE and coefficient of determination.
Neural model achieved MAPE errors between 0.73% and 3.37%, with R2 values between 0.9478 and 0.9868.
ARX models demonstrated accuracy near 100%.
Observed that subsystems for conventional and renewable energy production were controllable.

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Implication

Randomized trial explores intelligent control modeling for power systems, indicating viability for renewable energy integration.

Cite This Study

Tchórzewski et al. (2026) studied this question.

synapsesocial.com/papers/69f837d73ed186a7399820e1 https://doi.org/10.3390/electronics15091880

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Study of the National Power System in the Context of Intelligent Systems Under Conditions of Increasing Renewable Energy Production and Electricity Savings

Key Points

Discussion

Implication

Cite This Study

Study of the National Power System in the Context of Intelligent Systems Under Conditions of Increasing Renewable Energy Production and Electricity Savings

Key Points

Discussion

Implication

Cite This Study

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