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State-of-the-art review on energy sharing and trading of resilient multi microgrids
Independently run single microgrids (MGs) encounter difficulties with inadequate self-
consumption of local renewable energy and frequent power exchange with the grid …
consumption of local renewable energy and frequent power exchange with the grid …
[HTML][HTML] Soft computing approaches for photovoltaic water pum** systems: a review
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 …
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
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 …
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 …
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
Solar photovoltaic (PV) technology stands as a promising alternative to conventional fossil
fuel-based power generation, offering pollution-free and low-maintenance energy …
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
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 …
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
The efficient extraction of solar PV power is crucial to maximize utilization, even in rapidly
changing environmental conditions. The increasing energy demands highlight the …
changing environmental conditions. The increasing energy demands highlight the …
Selective harmonic elimination in PUC‐5 multilevel inverter using hybrid IGWO‐DE algorithm
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 …
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
Abstract Photovoltaic Water Pum** Systems (PVWPS) have become increasingly
important as a renewable energy solution in rural areas, providing energy independence …
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 …
(PV) systems is one of the most significant tasks. As a result, the previous research works …