A review of machine learning approaches to power system security and stability

OA Alimi, K Ouahada, AM Abu-Mahfouz - IEEE Access, 2020 - ieeexplore.ieee.org
Increasing use of renewable energy sources, liberalized energy markets and most
importantly, the integrations of various monitoring, measuring and communication …

A critical review of detection and classification of power quality events

OP Mahela, AG Shaik, N Gupta - Renewable and Sustainable Energy …, 2015 - Elsevier
Requirement of green supply with higher quality has been consumers' demand around the
globe. The electrical power system is expected to deliver undistorted sinusoidal rated …

[KİTAP][B] Time-frequency analysis techniques and their applications

RB Pachori - 2023 - taylorfrancis.com
Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …

Variational mode decomposition and decision tree based detection and classification of power quality disturbances in grid-connected distributed generation system

PD Achlerkar, SR Samantaray… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a variational mode decomposition (VMD) and decision tree based
detection and classification method of single and mixed power quality (PQ) disturbances in …

A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances

S Khokhar, AABM Zin, ASB Mokhtar… - … and Sustainable Energy …, 2015 - Elsevier
The increasing trend towards renewable energy sources requires higher power quality (PQ)
at the generation, transmission and distribution systems. The PQ disturbances are produced …

Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review

M Mishra - International transactions on electrical energy …, 2019 - Wiley Online Library
Power quality (PQ) studies have gained huge attention from the academics and the industry
over the past three decades. The main objective of this article is to provide a comprehensive …

A survey on Hilbert-Huang transform: Evolution, challenges and solutions

UB de Souza, JPL Escola, L da Cunha Brito - Digital Signal Processing, 2022 - Elsevier
Signal processing methods are essential in scientific research, and time-frequency analysis
techniques such as Fourier Transform constitute an important progress in data analysis, but …

A critical analysis of methodologies for detection and classification of power quality events in smart grid

RK Beniwal, MK Saini, A Nayyar, B Qureshi… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, power quality (PQ) issues have drawn considerable attention of the researchers
due to the increasing awareness of the customers towards power quality. The PQ issues …

Tunable-Q wavelet transform and dual multiclass SVM for online automatic detection of power quality disturbances

K Thirumala, MS Prasad, T Jain… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
A new automated recognition approach based on tunable-Q wavelet transform (TQWT) and
a dual multiclass support vector machines (MSVM) has been proposed for detection of …

A classification method for complex power quality disturbances using EEMD and rank wavelet SVM

Z Liu, Y Cui, W Li - IEEE Transactions on Smart Grid, 2015 - ieeexplore.ieee.org
This paper aims to develop a combination method for the classification of power quality
complex disturbances based on ensemble empirical mode decomposition (EEMD) and …