Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

103
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
103
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.8K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.8K
Response Surface Methodology01:16

Response Surface Methodology

284
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
284
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

771
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
771
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

729
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
729
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

300
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
300

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multiple-Strategies dung beetle optimizer and its applications in engineering optimization and bankruptcy prediction.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Bisphenol A promotes esophageal carcinogenesis by activating the MMP1-PCOLCE regulatory axis and remodeling the tumor immune microenvironment.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

The translational roles of circular RNAs in cancers and their underlying molecular mechanisms.

Medical oncology (Northwood, London, England)·2026
Same author

Venetoclax plus Idarubicin and cytarabine as frontline induction for newly diagnosed acute myeloid leukemia in young, fit adults: a real-world study.

Annals of hematology·2026
Same author

Clinicopathological characteristics of alveolar adenoma.

Frontiers in oncology·2026
Same author

Erratum to "High-throughput screening of ancient forest plant extracts shows cytotoxicity towards triple-negative breast cancer" [Environ. Int. 181 (2023) 108279].

Environment international·2026
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Sep 17, 2025

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

5.7K

RIME optimization with dynamic multi-dimensional random mechanism and Nelder-Mead simplex for photovoltaic parameter

Yuanping Zheng1, Fangjun Kuang2,3, Ali Asghar Heidari4

  • 1Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China.

Scientific Reports
|July 2, 2025
PubMed
Summary
This summary is machine-generated.

A new DNMRIME algorithm enhances solar photovoltaic parameter extraction. It shows superior performance compared to 14 other algorithms, improving accuracy and efficiency in real-world conditions.

Keywords:
Dynamic multi-dimensional random mechanismNelder–Mead simplexOptimizationPhotovoltaic parameter extractionRIME optimization algorithm

More Related Videos

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.7K
Making Record-efficiency SnS Solar Cells by Thermal Evaporation and Atomic Layer Deposition
14:01

Making Record-efficiency SnS Solar Cells by Thermal Evaporation and Atomic Layer Deposition

Published on: May 22, 2015

42.9K

Related Experiment Videos

Last Updated: Sep 17, 2025

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

5.7K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.7K
Making Record-efficiency SnS Solar Cells by Thermal Evaporation and Atomic Layer Deposition
14:01

Making Record-efficiency SnS Solar Cells by Thermal Evaporation and Atomic Layer Deposition

Published on: May 22, 2015

42.9K

Area of Science:

  • Renewable Energy Engineering
  • Computational Intelligence
  • Optimization Algorithms

Background:

  • Extracting solar photovoltaic cell parameters is crucial but complex due to various influencing factors.
  • Metaheuristic algorithms (MAs) offer potential solutions, but enhancements are needed for improved accuracy and convergence.

Purpose of the Study:

  • To introduce an enhanced Rime Optimization Algorithm (RIME) called DNMRIME for improved photovoltaic parameter extraction.
  • To evaluate the performance and practical applicability of DNMRIME in solar energy applications.

Main Methods:

  • Developed DNMRIME by integrating the dynamic multi-dimensional random mechanism (DMRM) with the Nelder-Mead simplex (NMs) method.
  • Conducted qualitative analysis and ablation studies on CEC 2017 benchmark functions.
  • Compared DNMRIME against 14 established MAs using Wilcoxon signed rank test.

Main Results:

  • DNMRIME demonstrated superior performance, ranking first among 14 compared MAs.
  • Achieved low Root Mean Square Error (RMSE) values for single, double, and triple diode models.
  • Successfully extracted parameters under varying environmental conditions, with simulation data closely matching actual data.

Conclusions:

  • DNMRIME, incorporating DMRM and NMs, offers significant improvements in convergence accuracy and optimization capabilities.
  • The algorithm proves efficient and practical for photovoltaic parameter extraction, outperforming existing methods.
  • Highlights the potential value of DNMRIME for advancing solar energy technology.