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 …
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 …
over the past three decades. The main objective of this article is to provide a comprehensive …
A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network
Abstract Automatic classification of Power Quality Disturbances (PQDs) is a challenging
concern for both the utility and industry. In this paper, a novel technique of automatic …
concern for both the utility and industry. In this paper, a novel technique of automatic …
A critical analysis of methodologies for detection and classification of power quality events in smart grid
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 …
due to the increasing awareness of the customers towards power quality. The PQ issues …
A comparison of power quality disturbance detection and classification methods using CNN, LSTM and CNN-LSTM
The use of electronic loads has improved many aspects of everyday life, permitting more
efficient, precise and automated process. As a drawback, the nonlinear behavior of these …
efficient, precise and automated process. As a drawback, the nonlinear behavior of these …
Application of photovoltaic systems for agriculture: A study on the relationship between power generation and farming for the improvement of photovoltaic applications …
J Cho, SM Park, AR Park, OC Lee, G Nam, IH Ra - Energies, 2020 - mdpi.com
Agrivoltaic (agriculture–photovoltaic) or solar sharing has gained growing recognition as a
promising means of integrating agriculture and solar-energy harvesting. Although this field …
promising means of integrating agriculture and solar-energy harvesting. Although this field …
Multi‐objective‐based feature selection for DDoS attack detection in IoT networks
In this study, the authors propose a multi‐objective optimisation‐based feature selection
(FS) method for the detection of distributed denial of service (DDoS) attacks in an internet of …
(FS) method for the detection of distributed denial of service (DDoS) attacks in an internet of …
A systematic review of real-time detection and classification of power quality disturbances
JE Caicedo, D Agudelo-Martínez… - … and Control of …, 2023 - ieeexplore.ieee.org
This paper offers a systematic literature review of real-time detection and classification of
Power Quality Disturbances (PQDs). A particular focus is given to voltage sags and notches …
Power Quality Disturbances (PQDs). A particular focus is given to voltage sags and notches …
Research challenges in real-time classification of power quality disturbances applicable to microgrids: A systematic review
R Igual, C Medrano - Renewable and Sustainable Energy Reviews, 2020 - Elsevier
Microgrids with distributed renewable energy sources are especially sensitive to power
quality disturbances. To mitigate the effects of distortions, they must first be detected and …
quality disturbances. To mitigate the effects of distortions, they must first be detected and …
Power quality disturbance monitoring and classification based on improved PCA and convolution neural network for wind-grid distribution systems
Y Shen, M Abubakar, H Liu, F Hussain - Energies, 2019 - mdpi.com
The excessive use of power semiconductor devices in a grid utility increases the malfunction
of the control system, produces power quality disturbances (PQDs) and reduces the …
of the control system, produces power quality disturbances (PQDs) and reduces the …