Voltage stability indices–A comparison and a review

HS Salama, I Vokony - Computers & Electrical Engineering, 2022 - Elsevier
The increasing integration of renewable energy sources (RESs) into the power system, rapid
load changes, and increasing power demand create problems for the stability of power …

Deep Neural Networks in Power Systems: A Review

M Khodayar, J Regan - Energies, 2023 - mdpi.com
Identifying statistical trends for a wide range of practical power system applications,
including sustainable energy forecasting, demand response, energy decomposition, and …

Ensemble Learning with Symbiotic Organism Search Optimization Algorithm for Breast Cancer Classification & Risk Identification of Other Organs on Histopathological …

N Routray, SK Rout, B Sahu, SK Panda… - IEEE …, 2023 - ieeexplore.ieee.org
Breast cancer (BC) is closely linked with the maximum mortality rate for cancer detection
across the globe and has become a predominant public health issue. Earlier detection might …

Meticulously intelligent identification system for smart grid network stability to optimize risk management

Q Abu Al-Haija, AA Smadi, MF Allehyani - Energies, 2021 - mdpi.com
The heterogeneous and interoperable nature of the cyber-physical system (CPS) has
enabled the smart grid (SG) to operate near the stability limits with an inconsiderable …

[HTML][HTML] Linear voltage stability indicator (Lvsi) for optimal placement of svc devices to improve the voltage stability margin in transmission systems

C Garrido, A Aguila Téllez, L Ortiz - Electronics, 2023 - mdpi.com
This study presents a procedure for placing static var compensators (SVC) in an EPS using
the fuzzy c-means clustering technique. For this purpose, the optimal power flow (OPF) is …

Multi-Area and Multi-Period Optimal Reactive Power Dispatch in Electric Power Systems

MM Sánchez-Mora, WM Villa-Acevedo… - Energies, 2023 - mdpi.com
Factors such as persistent demand growth, expansion project delays, and the rising
adoption of renewable energy sources highlight the importance of operating power systems …

Fault diagnosis method of bearing utilizing GLCM and MBASA-based KELM

S Fei, Y Liu - Scientific Reports, 2022 - nature.com
In this study, fault diagnosis method of bearing utilizing gray level co-occurrence matrix
(GLCM) and multi-beetles antennae search algorithm (MBASA)-based kernel extreme …

[HTML][HTML] Recent advances in hybrid compressed air energy storage systems: Technology categorization, integration potentials with renewable energy systems, and …

AE Geweda, AGH Saif, ME Zayed, AE Kabeel… - Alexandria Engineering …, 2025 - Elsevier
The unpredictable nature of renewable energy creates uncertainty and imbalances in
energy systems. Incorporating energy storage systems into energy and power applications …

Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue

P Pijarski, A Belowski - Energies, 2024 - mdpi.com
The challenges currently faced by network operators are difficult and complex. Presently,
various types of energy sources with random generation, energy storage units operating in …

Assessment and classification of grid stability with cost-sensitive stacked ensemble classifier

K Ramasamy, A Sundaramurthy… - Automatika: časopis za …, 2023 - hrcak.srce.hr
Sažetak Smart Grid is an intelligent power grid with a bidirectional flow of electricity and
information, that applies intelligent techniques to operate the grid autonomously near the …