A comprehensive survey of artificial intelligence-based techniques for performance enhancement of solid oxide fuel cells: Test cases with debates

H Ashraf, A Draz - Artificial Intelligence Review, 2024 - Springer
Since installing solid oxide fuel cells (SOFCs)-based systems suffers from high expenses,
accurate and reliable modeling is heavily demanded to detect any design issue prior to the …

Technical-economic evaluation of various photovoltaic tracking systems considering carbon emission trading

Z Ge, Z Xu, J Li, J Xu, J Xie, F Yang - Solar Energy, 2024 - Elsevier
Renewable energy generation plays a crucial role in mitigating global climate change and
achieving carbon peak and carbon neutrality targets. Photovoltaic (PV) power is an …

Enhanced MPPT-Based Fractional-Order PID for PV Systems Using Aquila Optimizer

M Tadj, L Chaib, A Choucha, AM Aldaoudeyeh… - Mathematical and …, 2023 - mdpi.com
This paper proposes a controller to track the maximum power point (MPP) of a photovoltaic
(PV) system using a fractional-order proportional integral derivative (FOPID) controller. The …

A novel development of optimized hybrid MPPT controller for fuel cell systems with high voltage transformation ratio DC–DC converter

Z Sultana, CHH Basha, MM Irfan, F Alsaif - Scientific Reports, 2024 - nature.com
The world is moving towards the utilization of hydrogen vehicle technology because its
advantages are uniformity in power production, more efficiency, and high durability when …

Backpropagation artificial neural network-based maximum power point tracking controller with image encryption inspired solar photovoltaic array reconfiguration

M Kumaraswamy, KA Naik - Engineering Applications of Artificial …, 2024 - Elsevier
The enhancement of photovoltaic (PV) arrays through reconfiguration presents a promising
avenue for increasing the global maximum power (GMP) and improving overall array …

[HTML][HTML] Three novel machine learning-based adaptive controllers for a photovoltaic shunt active power filter performance enhancement

AA Jai, M Ouassaid - Scientific African, 2024 - Elsevier
This study develops three new machine learning-based algorithms using the SVR prediction
approach. The overall objective is to enhance the performance of the PV shunt active power …

A novel technique using stretching, repulsion, and chimp optimization algorithm to find global maximum power point considering complex partial shading conditions

HM Ashraf, M Elahi, CH Kim - International Journal of Circuit …, 2024 - Wiley Online Library
The demand for green energy sources has led to the exploration of photovoltaic (PV)
systems as a sustainable and cost‐effective solution. However, PV systems have an …

Nature-inspired MPPT algorithms for solar PV and fault classification using deep learning techniques

S Senthilkumar, V Mohan, SP Mangaiyarkarasi… - Discover Applied …, 2025 - Springer
In recent years, renewable energy attracts the researchers interest due to its environment
free nature and abundant availability. Solar photovoltaic (PV) is widely used to generation …

Integrating Artificial Neural Networks into Hybrid Perturb and Observe Algorithm for Improved Photovoltaic System Performance

A Gugulothu, KA Naik - … 3rd Asian Conference on Innovation in …, 2023 - ieeexplore.ieee.org
One of the most prominent and sustainable sources of power generation is the PV solar
system. However, the efficiency of energy production from the PV system is highly …

Comparative study of different types of DC/DC converters for PV systems using RBF neural network-based MPPT algorithm

S Zaidi, B Meliani, R Bouddou, SM Belhadj… - Journal of Renewable …, 2024 - revue.cder.dz
In this article, a detailed comparison of various DC/DC converter topologies for photovoltaic
(PV) systems is presented, focusing on conventional step-up converters and advanced …