Land-use and land-cover classification using a human group-based particle swarm optimization algorithm with an LSTM Classifier on hybrid pre-processing remote …

GB Rajendran, UM Kumarasamy, C Zarro… - Remote Sensing, 2020 - mdpi.com
Land-use and land-cover (LULC) classification using remote sensing imagery plays a vital
role in many environment modeling and land-use inventories. In this study, a hybrid feature …

Review of the techniques of the data analytics and islanding detection of distribution systems using phasor measurement unit data

AA Arefin, M Baba, NSS Singh, NBM Nor, MA Sheikh… - Electronics, 2022 - mdpi.com
The application of the Phasor Measurement Unit (PMU) in the power system is expanding
day by day since it provides a higher reliability through fast symmetrically monitoring and …

Classification of insulators using neural network based on computer vision

SF Stefenon, MP Corso, A Nied… - IET Generation …, 2022 - Wiley Online Library
Insulators of the electrical power grid are usually installed outdoors, so they suffer from
environmental stresses, such as the presence of contamination. Contamination can increase …

Review on islanding detection methods for grid‐connected photovoltaic systems, existing limitations and future insights

R Bakhshi‐Jafarabadi, J Sadeh… - IET Renewable …, 2022 - Wiley Online Library
The connection of renewable energy sources (RESs) to the distribution network has been
rising at a steady pace over the past decades. The great penetration of RESs such as grid …

Hybrid deep learning model for fault detection and classification of grid-connected photovoltaic system

M Alrifaey, WH Lim, CK Ang, E Natarajan… - IEEE …, 2022 - ieeexplore.ieee.org
Effective fault detection and classification play essential roles in reducing the hazards such
as electric shocks and fire in photovoltaic (PV) systems. However, the issues of interest in …

A novel Multi-LSTM based deep learning method for islanding detection in the microgrid

AK Özcanlı, M Baysal - Electric Power Systems Research, 2022 - Elsevier
Microgrid (MG) is a key part of the future energy system that can operate in either grid-
connected or island mode by enabling the growing integration of renewable energy sources …

Reliable islanding detection scheme for distributed generation based on pattern-recognition

BK Chaitanya, A Yadav… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This article presents a reliable islanding detection scheme for distributed generation (DG) to
minimize the nondetection zone using a pattern-recognition method. A hybrid time …

Classification of power quality disturbances in solar PV integrated power system based on a hybrid deep learning approach

B Eristi, H Eristi - International Transactions on Electrical …, 2022 - Wiley Online Library
Nowadays, due to the increase in the demand for electrical energy and the development of
technology, the electrical devices have a more complex structure. This situation has …

Determining unintentional island threshold to enhance the reliability in an electrical distribution grid

AA Arefin, MS Rahman, MS Hossain Lipu, MR Sarker… - Mathematics, 2023 - mdpi.com
Due to the significant number of distributed generators in the electric power system,
islanding detection requirements are becoming an increasingly prominent aspect of the …

Foreign object debris (fod) classification through material recognition using deep convolutional neural network with focus on metal

SM Zainab, K Khan, A Fazil, M Zakwan - IEEE Access, 2023 - ieeexplore.ieee.org
Foreign object debris (FOD) is any undesired and unintended object placed or found in the
specific vicinity of an aircraft (runway/taxiway) that can cause damage to aircraft or harm …