Neuro-fuzzy and networks-based data driven model for multi-charging scenarios of plug-in-electric vehicles

I Ahmed, M Rehan, A Basit, M Tufail, KS Hong - IEEE Access, 2023 - ieeexplore.ieee.org
In recent times, significant progress has been achieved in the domain of intelligent and eco-
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …

Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system

H Benbouhenni, I Colak, N Bizon… - Measurement and …, 2024 - journals.sagepub.com
Energy ripples are among the common problems in renewable energies as a result of using
less efficient strategies. In this work, a new technique is suggested to control a doubly-fed …

Artificial neural network grid-connected MPPT-based techniques for hybrid PV-WIND with battery energy storage system

S Sharma, BK Chauhan, NK Saxena - … of The Institution of Engineers (India …, 2023 - Springer
A hybrid photovoltaic–wind–battery–microgrid system is designed and implemented based
on an artificial neural network with maximum power point tracking. The proposed method …

Performance evaluation of ferro-fluids flooding in enhanced oil recovery operations based on machine learning

H Saberi, M Karimian, E Esmaeilnezhad - Engineering Applications of …, 2024 - Elsevier
The process of enhanced oil recovery (EOR) and core flooding involves various challenges
such as preserving cores, configuring experiment setup, scaling from the laboratory to the …

[HTML][HTML] Harmonic measurement and analysis system for characterization of adjustable speed drives

A Arranz-Gimon, A Zorita-Lamadrid… - International Journal of …, 2024 - Elsevier
Variable speed drives, commonly employed for motor speed control, incorporate electronic
converters that emit harmonics to both the power grid and the motor-load system. These …

Harmonics Forecasting of Wind and Solar Hybrid Model Based on Deep Machine Learning

FM Al Hadi, HH Aly, T Little - IEEE Access, 2023 - ieeexplore.ieee.org
Solar and Wind energy based Renewable Energy Systems (RES) are one of the most
rapidly growing technologies as a means of producing clean electrical energy. Grid …

Enhancing robustness and control performance of voltage source inverters using Kalman filter adaptive observer and ANN-based model predictive controller

S Kinga, TF Megahed, H Kanaya… - Neural Computing and …, 2024 - Springer
Power electronic converters play a crucial role in integrating distributed generation,
renewable energy sources, microgrids, and HVDC transmission networks into the grid. The …

Skewness Driven DFIG's DC Link Bus Short and Open Circuit Faults Diagnosis using Rotor and Stator Currents

T Roy, DK Ray, S Chattopadhyay - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
DC link bus plays an important role in the operation of doubly fed induction generators
(DFIG) and sustainable power generation. It is used in the converter section connected …

[HTML][HTML] Synchronized Measurement of the Fundamental Voltage and Harmonic, Interharmonic, and Subharmonic Components of the Electrical Grid Using an …

G Martínez-Navarro, S Orts-Grau, JC Alfonso-Gil… - Applied Sciences, 2024 - mdpi.com
The effects of harmonics, interharmonics, and subharmonics on low-voltage distribution
networks, leading to a deterioration in electrical power quality, have become more evident in …

[PDF][PDF] Enhanced Backstepping Control for HESG-Based Wind Conversion Systems in MPPT Applications.

WM Kacemi, E Bounadja, AB Djilali… - Journal Européen …, 2024 - researchgate.net
In recent years, the wind conversion system (WCS) sector has witnessed a notable surge in
the recognition of robust control methodologies. This paper undertakes a thorough …