[HTML][HTML] Artificial intelligence in renewable energy: A comprehensive bibliometric analysis

L Zhang, J Ling, M Lin - Energy Reports, 2022 - Elsevier
In recent years, artificial intelligence methods have been widely applied to solve issues
related to renewable energy because of their ability to solve nonlinear and complex data …

[HTML][HTML] Evaluation of properties of bio-composite with interpretable machine learning approaches: optimization and hyper tuning

G Xu, G Zhou, F Althoey, HM Hadidi, A Alaskar… - Journal of Materials …, 2023 - Elsevier
Hemp bio-composite (HBC) is a sustainable material that can be considered as a “carbon
negative” or “better-than-zero-carbon” because it absorbs more carbon from its surrounding …

Event-triggered input–output finite-time stabilization for IT2 fuzzy systems under deception attacks

R Kavikumar, OM Kwon, SH Lee, S Lee… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article addresses the issue of input–output finite-time stabilization for interval type-2
fuzzy systems in the presence of deception attack effects. Our main goal is to make efficient …

Fuzzy frequency droop control of DFIG wind turbine generators adapted to continuous changes in wind speeds

M Xu, Y Jin, J Ma, C Wang, P Liu - IEEE Access, 2023 - ieeexplore.ieee.org
Without energy storage or reserves, wind turbine generators (WTGs) can provide temporary
additional power when participating in frequency regulation (FR) by releasing rotor kinetic …

[HTML][HTML] Improving the frequency response of hybrid microgrid under renewable sources' uncertainties using a robust LFC-based African vulture optimization algorithm

A Hossam-Eldin, H Mostafa, H Kotb, KM AboRas… - Processes, 2022 - mdpi.com
Power systems have recently faced significant challenges due to the increased penetration
of renewable energy sources (RES) such as frequency deviation due to fluctuations …

Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review

M Senyuk, S Beryozkina, M Safaraliev, A Pazderin… - Energies, 2024 - mdpi.com
Modern electrical power systems are characterized by a high rate of transient processes, the
use of digital monitoring and control systems, and the accumulation of a large amount of …

Predicting power and hydrogen generation of a renewable energy converter utilizing data-driven methods: a sustainable smart grid case study

F Mirshafiee, E Shahbazi, M Safi, R Rituraj - Energies, 2023 - mdpi.com
This study proposes a data-driven methodology for modeling power and hydrogen
generation of a sustainable energy converter. The wave and hydrogen production at …

A New Type‐3 Fuzzy PID for Energy Management in Microgrids

W Fan, A Mohammadzadeh, N Kausar… - Advances in …, 2022 - Wiley Online Library
More recently, type‐3 (T3) fuzzy logic systems (FLSs) with better learning ability and
uncertainty modeling have been presented. On other hand, the proportional‐integral …

A novel solution for solving the frequency regulation problem of renewable interlinked power system using fusion of AI

MOA Kader, KT Akindeji, G Sharma - Energies, 2022 - mdpi.com
The requirement for clean energy has increased drastically over the years due to the
emission of CO2 and the degrading of the environment by introducing Renewable Energy …

Design of intelligent-based cascaded controller for AGC in three-area diverse sources power systems-incorporated renewable energy sources with SMES and parallel …

GM Meseret, LC Saikia - Electrical Engineering, 2024 - Springer
This article deals with the AGC design of diverse sources-integrated multi-area systems.
Area 1 is the combination of solar PV, wind farm, and thermal units. Areas 2 and 3 combine …