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A short-term voltage stability online assessment based on multi-layer perceptron learning
M Shahriyari, A Safari, A Quteishat… - Electric Power Systems …, 2023 - Elsevier
In this paper, a deep learning-based approach is used to analyze short-term voltage stability
of power systems in order to completely learn the hidden timely dependencies from post …
of power systems in order to completely learn the hidden timely dependencies from post …
A novel fast transient stability assessment of power systems using fault-on trajectory
M Shahriyari, H Khoshkhoo… - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
In this article, for fast transient stability status (TSS) prediction, a new scheme is proposed,
which does not require any postfault data and predicts TSS using data measured until the …
which does not require any postfault data and predicts TSS using data measured until the …
Mechanical Fault Types Detection in Transformer Windings Using Interpretation of Frequency Responses via Multilayer Perceptron
R Behkam, A Moradzadeh, H Karami… - Journal of Operation …, 2023 - joape.uma.ac.ir
The Frequency Response Analysis (FRA) technique has advantages in identifying faults
related to power transformers, but it suffers from the interpretation of frequency responses …
related to power transformers, but it suffers from the interpretation of frequency responses …
Improving the Effect of Electric Vehicle Charging on Imbalance Index in the Unbalanced Distribution Network Using Demand Response Considering Data Mining …
MA Baherifard, R Kazemzadeh… - Journal of Operation …, 2023 - joape.uma.ac.ir
With the development of electrical network infrastructure and the emergence of concepts
such as demand response and using electric vehicles for purposes other than …
such as demand response and using electric vehicles for purposes other than …
Tuar – transitory – instabilità (T2i): an ML-based framework to predict transient instability in a 7-power plant network.
R Khan, MA Saqib, B Wajid, F Nzanywayingoma… - IEEE …, 2024 - ieeexplore.ieee.org
With the expansion in recent power systems, the boost in renewable energy resources with
multiple interconnections, overloading of existing power networks, increased load growth …
multiple interconnections, overloading of existing power networks, increased load growth …
Power Spectral Density based Identification of Low frequency Oscillations in Multimachine Power system
D Shetty, N Prabhu - Journal of Operation and Automation in Power …, 2023 - joape.uma.ac.ir
The paper presents a Fast Fourier Transform (FFT) based Power Spectral Density (PSD)
filter for denoising the PMU signal received from the smart power system network to identify …
filter for denoising the PMU signal received from the smart power system network to identify …
[فهرست منابع][C] Dynamic Security Assessment of Power Systems Using Ensemble Learning Algorithms
A Safari, Z Bahari Lashkari… - Journal of Advanced …, 2023 - Imam Hussein University