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Solar photovoltaic power forecasting: A review
KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …
climate change. The generation of climate-friendly renewable energy alternatives has been …
Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
Performance optimization of photovoltaic and solar cells via a hybrid and efficient chimp algorithm
C Yang, C Su, H Hu, M Habibi, H Safarpour… - Solar Energy, 2023 - Elsevier
The global shift toward solar energy has resulted in the advancement of research into the
manufacture of high-performance solar cells. It is critical to accurately model and identify the …
manufacture of high-performance solar cells. It is critical to accurately model and identify the …
On the root mean square error (RMSE) calculation for parameter estimation of photovoltaic models: A novel exact analytical solution based on Lambert W function
In the literature, one can find a lot of methods and techniques employed to estimate single
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …
Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts
Accurate estimation of critical parameters of the photovoltaic models is a highly demanding
task in modeling and simulating the photovoltaic systems. In this research, a diversification …
task in modeling and simulating the photovoltaic systems. In this research, a diversification …
L-SHADE with parameter decomposition for photovoltaic modules parameter identification under different temperature and irradiance
The performance of photovoltaic (PV) system relies on the accurate determination of
unknown parameters in PV models, such as photo-generated current, diode current, and …
unknown parameters in PV models, such as photo-generated current, diode current, and …
A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models
Photovoltaic (PV) cells are widely used for their clean and sustainable advantages, forcing
researchers to accurately model their characteristics. The behavior of PV cells can be …
researchers to accurately model their characteristics. The behavior of PV cells can be …
Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm
The using of solar energy has been increased since it is a clean source of energy. In this
way, the design of photovoltaic cells has attracted the attention of researchers over the …
way, the design of photovoltaic cells has attracted the attention of researchers over the …
Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation
Parameters estimation of photovoltaic (PV) model based on experimental data plays an
important role in the simulation, evaluation, control, and optimization of PV systems. In the …
important role in the simulation, evaluation, control, and optimization of PV systems. In the …
Self-adaptive enhanced learning differential evolution with surprisingly efficient decomposition approach for parameter identification of photovoltaic models
In order for the photovoltaic power generation system to convert energy with the highest
efficiency after installation, the unknown parameters of the photovoltaic model need to be …
efficiency after installation, the unknown parameters of the photovoltaic model need to be …