An efficient approach to parameter extraction of photovoltaic cell models using a new population-based algorithm
This article discusses the problem of accurate and efficient modeling of photovoltaic (PV)
panels. It is a highly nonlinear problem. The following models were considered: a single …
panels. It is a highly nonlinear problem. The following models were considered: a single …
Parameter estimation of various PV cells and modules using an improved simultaneous heat transfer search algorithm
Accurate and reliable parameter estimation plays a pivotal part in the design of solar PV
systems. However, the current PV parameter estimation (PVPE) methods still face great …
systems. However, the current PV parameter estimation (PVPE) methods still face great …
Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss
Sunspots play a crucial role in both weather forecasting and the monitoring of solar storms.
In this work, we propose a novel combined model for sunspot prediction using improved …
In this work, we propose a novel combined model for sunspot prediction using improved …
An efficient improved exponential distribution optimizer: application to the global, engineering and combinatorial optimization problems
EH Houssein, MK Saeed, G Hu, MM Al-Sayed - Cluster Computing, 2024 - Springer
Population-based meta-heuristic optimization algorithms play a vital role in addressing
optimization problems. Nowadays, exponential distribution optimizer (EDO) can be …
optimization problems. Nowadays, exponential distribution optimizer (EDO) can be …
[HTML][HTML] Triple-diode solar cell current optimization–An analytical solution based on the Lambert W function
A novel mathematical modeling approach for the Triple-Diode Model (TDM) and its
parameter estimation is introduced in this paper. For the first time in the literature, this paper …
parameter estimation is introduced in this paper. For the first time in the literature, this paper …
An Improved Multi-Strategy Crayfish Optimization Algorithm for Solving Numerical Optimization Problems
R Wang, S Zhang, G Zou - Biomimetics, 2024 - mdpi.com
The crayfish optimization algorithm (COA), proposed in 2023, is a metaheuristic optimization
algorithm that is based on crayfish's summer escape behavior, competitive behavior, and …
algorithm that is based on crayfish's summer escape behavior, competitive behavior, and …