Review of AI applications in harmonic analysis in power systems
Harmonics and waveform distortion is a significant power quality problem in modern power
systems with high penetration of Renewable Energy Sources (RES). This problem has …
systems with high penetration of Renewable Energy Sources (RES). This problem has …
Neural network applications in power electronics and motor drives—An introduction and perspective
BK Bose - IEEE Transactions on Industrial Electronics, 2007 - ieeexplore.ieee.org
Artificial intelligence (AI) techniques, particularly the neural networks, are recently having
significant impact on power electronics and motor drives. Neural networks have created a …
significant impact on power electronics and motor drives. Neural networks have created a …
Nonlinear autoregressive neural network in an energy management strategy for battery/ultra-capacitor hybrid electrical vehicles
Hybrid electric vehicles are one of the most promising solutions for reducing pollution and
fuel consumption. However, their propulsion system comprises a number of different …
fuel consumption. However, their propulsion system comprises a number of different …
A unified artificial neural network architecture for active power filters
DO Abdeslam, P Wira, J Mercklé… - IEEE transactions on …, 2007 - ieeexplore.ieee.org
In this paper, an efficient and reliable neural active power filter (APF) to estimate and
compensate for harmonic distortions from an AC line is proposed. The proposed filter is …
compensate for harmonic distortions from an AC line is proposed. The proposed filter is …
[HTML][HTML] A comparative study on parameters estimation of squirrel cage induction motors using neural networks with unmemorized training
Induction machines are often preferred in industrial applications at present. Therefore, it is
an important problem to know the electrical parameters of induction machines correctly …
an important problem to know the electrical parameters of induction machines correctly …
A classification method for power-quality disturbances using Hilbert–Huang transform and LSTM recurrent neural networks
MA Rodriguez, JF Sotomonte, J Cifuentes… - Journal of Electrical …, 2021 - Springer
Power quality disturbances are one of the main problems in an electric power system, where
deviations in the voltage and current signals can be evidenced. These sudden changes are …
deviations in the voltage and current signals can be evidenced. These sudden changes are …
Reliability-based approach to the inverse kinematics solution of robots using Elman's networks
R Köker - Engineering applications of artificial intelligence, 2005 - Elsevier
The solution of inverse kinematics problem of redundant manipulators is a fundamental
problem in robot control. The inverse kinematics problem in robotics is the determination of …
problem in robot control. The inverse kinematics problem in robotics is the determination of …
Harmonic identification using parallel neural networks in single-phase systems
CF do Nascimento, AA de Oliveira Jr, A Goedtel… - Applied soft …, 2011 - Elsevier
In this paper, artificial neural networks are employed in a novel approach to identify
harmonic components of single-phase nonlinear load currents, whose amplitude and phase …
harmonic components of single-phase nonlinear load currents, whose amplitude and phase …
Three phase series active power filter based adaptive linear neuron (ADALINE) to overcome voltage harmonics in power systems
M Jamlaay - International Journal of Science, Technology & …, 2024 - ijstm.inarah.co.id
Voltage harmonics in the power system can interfere with the work of equipment and reduce
the quality of electrical power. This is overcome by using a Series Active Power Filter which …
the quality of electrical power. This is overcome by using a Series Active Power Filter which …
An application of neural networks for harmonic coefficients and relative phase shifts detection
H Temurtas, F Temurtas - Expert systems with applications, 2011 - Elsevier
The varying the phase shifts will completely change the shape of the distorted wave, and
may thus greatly affect the ability of the neural network to recognize harmonics. In this study …
may thus greatly affect the ability of the neural network to recognize harmonics. In this study …