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Updated: Jun 25, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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通过使用粒子集群优化和人工神经网络进行光伏面板模型参数估计.

Wai-Lun Lo1, Henry Shu-Hung Chung2, Richard Tai-Chiu Hsung1

  • 1Department of Computer Science, Hong Kong Chu Hai College, Hong Kong, China.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
概括

这项研究引入了一种新的方法,用于使用人工神经网络 (ANN) 和粒子群优化 (PSO) 估计光伏 (PV) 面板参数. 该方法提高了光伏面板健康监测和最大功率点跟踪的准确性和融合速度.

关键词:
模型参数估计模型参数估计神经网络的神经网络的神经网络粒子群集优化 粒子群集优化太阳能电池板的光伏组件

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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...
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