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 …

Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information

AT Eseye, J Zhang, D Zheng - Renewable energy, 2018 - Elsevier
Photovoltaic (PV) solar power generation is always associated with uncertainties due to
solar irradiance and other weather parameters intermittency. This creates a huge barrier in …

[HTML][HTML] In-depth investigation of speech emotion recognition studies from past to present The importance of emotion recognition from speech signal for AI

YÜ SÖNMEZ, A VAROL - Intelligent Systems with Applications, 2024 - Elsevier
In the super smart society (Society 5.0), new and rapid methods are needed for speech
recognition, emotion recognition, and speech emotion recognition areas to maximize human …

Real-time voltage sag detection and classification for power quality diagnostics

EA Nagata, DD Ferreira, MHJ Bollen, BHG Barbosa… - Measurement, 2020 - Elsevier
This work proposes an innovative approach to detect, segment and classify voltage sags
according to their causes. To detect and segment, Independent Component Analysis is …

Fault classification in SEIG system using Hilbert-Huang transform and least square support vector machine

J Dalei, KB Mohanty - International Journal of Electrical Power & Energy …, 2016 - Elsevier
This paper presents the transient performance analysis of self excited induction generator
(SEIG) during both balanced and unbalanced faults using stationary frame d–q axis …

Locating the source of voltage sags: Full review, introduction of generalized methods and numerical simulations

Y Mohammadi, MH Moradi, RC Leborgne - Renewable and Sustainable …, 2017 - Elsevier
Locating the source of voltage sags in order to identify the events causing the problem and
improving mitigation strategies is a major issue. When two utilities manage interconnected …

Distribution grid fault diagnostic employing Hilbert-Huang transform and neural networks

KA Alshumayri, M Shafiullah - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Faults in distribution grids cause power interruption and economic losses. A crucial part of
distribution grids protection systems is effectively diagnosing the fault to accelerate the …

Overview of voltage dips detection analysis methods

AM Stanisavljević, VA Katić, BP Dumnić… - … on Power Electronics …, 2017 - ieeexplore.ieee.org
Voltage dips are significant threat for distributed generation (DG) connected via grid-tie
inverter to the power system. Fast detection of voltage dips is essential for proper operation …

[HTML][HTML] Recognition of voltage sag sources based on phase space reconstruction and improved VGG transfer learning

Y Pu, H Yang, X Ma, X Sun - Entropy, 2019 - mdpi.com
The recognition of the voltage sag sources is the basis for formulating a voltage sag
governance plan and clarifying the responsibility for the accident. Aiming at the recognition …

Abnormal brain detection and analysis of EEG signals

M Yakoubi, R Hamdi, MB Salah - … International Conference on …, 2018 - ieeexplore.ieee.org
The Electroencephalogram (EEG) is a representative signal enclosing information about the
function of the brain. EEG signals can be utilized to study an automatic diagnosis of …