Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

48
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...
48
Response Surface Methodology01:16

Response Surface Methodology

117
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:
117

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Advanced retinal disease detection using RHT-Net: a hybrid deep learning approach with augmented fundus imaging.

Frontiers in physiology·2026
Same author

From nonlinear neuronal dynamics to AI-optimized VLSI hardware: multiplier-free FPGA implementation of memristive FN-HR coupled neural networks for intelligent systems.

Cognitive neurodynamics·2026
Same author

Lightweight Medical Image Segmentation with UNet Architecture.

Studies in health technology and informatics·2026
Same author

Multimodal Cardiovascular Disease Detection Using ECG Image and EHR.

Studies in health technology and informatics·2026
Same author

Evaluation over Generalist Large Language Models and Specialised Models for Clinical Risk Prediction.

Studies in health technology and informatics·2026
Same author

Position-Sensitive painterly image harmonization.

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

相关实验视频

Updated: Jun 22, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K

辐射分布系统中太阳能资源分配的多目标优化,使用精细的粘液模具算法.

Zebin Wang1, Yu Li1, Guodao Zhang2,3

  • 1Zhejiang College of Security Technology, Wenzhou, 325000, China.

Heliyon
|June 27, 2024
PubMed
概括

这项研究优化了电网中的太阳能资源配置,改善了电压稳定性并减少了能源损失. 这种新的方法提高了系统效率高达12%,即使在太阳能透水平高.

关键词:
分布式发电资源 分布式发电资源多目标优化多目标优化粘模具算法 粘模具算法太阳能资源的分配分配电压稳定性 电压稳定性

更多相关视频

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
14:33

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations

Published on: October 1, 2013

14.4K
High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

3.7K

相关实验视频

Last Updated: Jun 22, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K
Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
14:33

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations

Published on: October 1, 2013

14.4K
High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

3.7K

科学领域:

  • 电气工程 电气工程
  • 可再生能源系统可再生能源系统
  • 优化算法 优化算法

背景情况:

  • 分布式发电 (DG) 集成提供了像峰值负载管理这样的好处,但挑战了电压稳定性.
  • 优化太阳能资源在辐射分布系统中的配置对于电网效率至关重要.

研究的目的:

  • 开发一个多目标模型,以实现最佳的太阳能资源配置.
  • 为了改善电压配置,最大限度地减少系统损失,并最大限度地提高太阳能透率.
  • 在 DG 整合中解决相互矛盾的目标.

主要方法:

  • 一种用于辐射分布系统中的太阳能资源分配的新型多目标模型.
  • 一个精细的多目标粘液模具算法 (MOSMA) 进行优化.
  • 整合纠正的社会层次方法以提高MOSMA的表现.

主要成果:

  • 拟议的MOSMA有效地找到帕雷托前线并避免局部最佳值,优于其他优化方法.
  • 该方法保持了可接受的电压配置,并大大降低了系统损失.
  • 在300%的太阳能透水平下,系统效率提高了约12%,损耗降低到100%的透.

结论:

  • 拟议的MOSMA在优化太阳能资源分配方面非常有效,即使在高透水平.
  • 与现有方法相比,该方法在电压配置管理和减少损失方面表现优越.
  • 这些发现支持有效地将分布式太阳能资源集成到电力系统中.