Add to ORKGInternational Journal of Engineering Intelligent Systems for Electrical Engineering and Communications4133-42IJEI
This paper proposes a neural network-based method for on-line voltage stability estimation, predicti...
This paper presents a harmonic extraction algorithm using artificial neural networks for Dynamic Vol...
Includes bibliographical references (pages 15-15)Electrical power systems in any part of the world a...
Fast determination of parameters of the fundamental waveform of voltages and currents is essential f...
This paper presents for students instructions to using parallel algorithms, which can be implemented...
The paper presents an adaptive neural network approach for the estimation of harmonic distortions an...
An electronic artificial neural network architecture is presented for estimating the parameters of a...
Voltage sag is a temporary voltage drop at the fundamental component of utility voltage line. Becaus...
The importance of the electric power quality (PQ) demands new methodologies and measurement tools in...
In the field of electrical network, it is necessary, under different conditions, to learn about the ...
Harmonic estimation is the foundation of every active noise canceling method in low-voltage power sy...
The joint time-frequency analysis of power system quantities is a powerful approach to monitor the d...
Part 11: Engineering Applications of AI and Artificial Neural NetworksInternational audienceCapaciti...
The joint time-frequency analysis of power system quantities is a powerful approach to monitor the d...
As power systems grow in their size and interconnections, their complexity increases. Rising costs d...
This paper proposes a neural network-based method for on-line voltage stability estimation, predicti...
This paper presents a harmonic extraction algorithm using artificial neural networks for Dynamic Vol...
Includes bibliographical references (pages 15-15)Electrical power systems in any part of the world a...
Fast determination of parameters of the fundamental waveform of voltages and currents is essential f...
This paper presents for students instructions to using parallel algorithms, which can be implemented...
The paper presents an adaptive neural network approach for the estimation of harmonic distortions an...
An electronic artificial neural network architecture is presented for estimating the parameters of a...
Voltage sag is a temporary voltage drop at the fundamental component of utility voltage line. Becaus...
The importance of the electric power quality (PQ) demands new methodologies and measurement tools in...
In the field of electrical network, it is necessary, under different conditions, to learn about the ...
Harmonic estimation is the foundation of every active noise canceling method in low-voltage power sy...
The joint time-frequency analysis of power system quantities is a powerful approach to monitor the d...
Part 11: Engineering Applications of AI and Artificial Neural NetworksInternational audienceCapaciti...
The joint time-frequency analysis of power system quantities is a powerful approach to monitor the d...
As power systems grow in their size and interconnections, their complexity increases. Rising costs d...
This paper proposes a neural network-based method for on-line voltage stability estimation, predicti...
This paper presents a harmonic extraction algorithm using artificial neural networks for Dynamic Vol...
Includes bibliographical references (pages 15-15)Electrical power systems in any part of the world a...