State-of-the-art review on energy sharing and trading of resilient multi microgrids

A Kumar, AR Singh, LP Raghav, Y Deng, X He… - Iscience, 2024 - cell.com
Independently run single microgrids (MGs) encounter difficulties with inadequate self-
consumption of local renewable energy and frequent power exchange with the grid …

[HTML][HTML] Soft computing approaches for photovoltaic water pum** systems: a review

I Saady, B Majout, MS Adouairi, M Karim… - Cleaner Engineering …, 2024 - Elsevier
Water pum** systems are crucial for extracting water from deep wells. However, electricity
shortages and high fuel prices significantly impact the efficiency and reliability of these …

Experimental validation of a low-cost maximum power point tracking technique based on artificial neural network for photovoltaic systems

AF Abouzeid, H Eleraky, A Kalas, R Rizk… - Scientific Reports, 2024 - nature.com
Maximum power point tracking (MPPT) is a technique involved in photovoltaic (PV) systems
for optimizing the output power of solar panels. Traditional solutions like perturb and …

[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 …

Archimedes optimization algorithm based parameter extraction of photovoltaic models on a decent basis for novel accurate RMSE calculation

MT Hussain, MR Hussan, M Tariq, A Sarwar… - Frontiers in Energy …, 2024 - frontiersin.org
Solar photovoltaic (PV) technology stands as a promising alternative to conventional fossil
fuel-based power generation, offering pollution-free and low-maintenance energy …

Intelligent algorithm-based maximum power point tracker for an off-grid photovoltaic-powered direct-current irrigation system

H Attia, M Takruri, A Al-Ataby - Clean Energy, 2024 - academic.oup.com
This research aims to enhance the performance of photovoltaic (PV) systems on a 2-fold
basis. Firstly, it introduces an advanced deep artificial neural network algorithm for accurate …

[HTML][HTML] Atomic orbital search algorithm for efficient maximum power point tracking in partially shaded solar PV systems

MT Hussain, M Tariq, A Sarwar, S Urooj, A BaQais… - Processes, 2023 - mdpi.com
The efficient extraction of solar PV power is crucial to maximize utilization, even in rapidly
changing environmental conditions. The increasing energy demands highlight the …

Selective harmonic elimination in PUC‐5 multilevel inverter using hybrid IGWO‐DE algorithm

Z Sifat, MT Hussain, MA Khan, MS Hussain… - Engineering …, 2024 - Wiley Online Library
The use of a multilevel inverter has received significant attention in recent years due to its
numerous advantages. Because of the widespread use of multilevel inverters in industries …

Improving photovoltaic water pum** system performance with ANN-based direct torque control using real-time simulation

I Saady, B Majout, I El Kafazi, M Karim, B Bossoufi… - Scientific Reports, 2025 - nature.com
Abstract Photovoltaic Water Pum** Systems (PVWPS) have become increasingly
important as a renewable energy solution in rural areas, providing energy independence …

An Astute Ganne Optimized MPPT Controller Combined with High Gain Interleaved Boost Converter for Grid-PV Systems

P Palanichamy, R Krishnasamy… - 2023 7th …, 2023 - ieeexplore.ieee.org
Due to the rising need for energy, getting the most electricity possible from solar Photovoltaic
(PV) systems is one of the most significant tasks. As a result, the previous research works …