Artificial intelligence based MPPT techniques for solar power system: A review
In the last decade, artificial intelligence (AI) techniques have been extensively used for
maximum power point tracking (MPPT) in the solar power system. This is because …
maximum power point tracking (MPPT) in the solar power system. This is because …
Artificial neural networks in MPPT algorithms for optimization of photovoltaic power systems: A review
CG Villegas-Mier, J Rodriguez-Resendiz… - Micromachines, 2021 - mdpi.com
The use of photovoltaic systems for clean electrical energy has increased. However, due to
their low efficiency, researchers have looked for ways to increase their effectiveness and …
their low efficiency, researchers have looked for ways to increase their effectiveness and …
Solar photovoltaic Maximum Power Point Tracking controller optimization using Grey Wolf Optimizer: A performance comparison between bio-inspired and traditional …
J Aguila-Leon, C Vargas-Salgado… - Expert Systems with …, 2023 - Elsevier
Solar photovoltaic systems are widely used; however, their performance is bound to weather
conditions, depending on irradiation, temperature, and the effect of shadows. Maximum …
conditions, depending on irradiation, temperature, and the effect of shadows. Maximum …
A comprehensive review and classified comparison of MPPT algorithms in PV systems
One of the most available energy sources in the world is solar energy, while in the category
of renewable and nonrenewable energies is in the first group. Power generation of a …
of renewable and nonrenewable energies is in the first group. Power generation of a …
A comparative performance analysis of ANN algorithms for MPPT energy harvesting in solar PV system
In this paper, artificial neural network (ANN) based Levenberg-Marquardt (LM), Bayesian
Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in …
Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in …
A state-of-art-review on machine-learning based methods for PV
In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …
applications in several applicative fields effectively changing our daily life. In this scenario …
An evaluation of ANN algorithm performance for MPPT energy harvesting in solar PV systems
In this paper, the Levenberg–Marquardt (LM), Bayesian regularization (BR), resilient
backpropagation (RP), gradient descent momentum (GDM), Broyden–Fletcher–Goldfarb …
backpropagation (RP), gradient descent momentum (GDM), Broyden–Fletcher–Goldfarb …
A Study of Deep Neural Network Controller‐Based Power Quality Improvement of Hybrid PV/Wind Systems by Using Smart Inverter
A Ab-BelKhair, J Rahebi… - International Journal …, 2020 - Wiley Online Library
Presently, climate change and global warming are the most uncontrolled global challenges
due to the extensive fossil fuel usage for power generation and transportation. Nowadays …
due to the extensive fossil fuel usage for power generation and transportation. Nowadays …
A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine …
Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
Machine learning-based monitoring of DC-DC converters in photovoltaic applications
In this paper, a monitoring method for DC-DC converters in photovoltaic applications is
presented. The primary goal is to prevent catastrophic failures by detecting malfunctioning …
presented. The primary goal is to prevent catastrophic failures by detecting malfunctioning …