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Updated: Sep 17, 2025

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数字建模和神经网络优化用于先进的太阳能电池板效率

Udit Mamodiya1, Indra Kishor2, Mohammed Amin Almaiah3

  • 1Faculty of Engineering and Technology, Poornima University, Jaipur, Rajasthan, India.

Scientific reports
|July 2, 2025
PubMed
概括

本研究介绍了一种混合人工智能框架,将物理信息的神经网络和强化学习结合起来,用于实时太阳能电池板优化. 与传统方法相比,人工智能系统提高了10-15%的能量产量,并提高了跟踪速度.

关键词:
美国有线电视新闻 (CNN-LSTM)边缘AI 边缘AI神经网络优化神经网络优化数字建模 数字建模基于物理学的神经网络 (PINNs)强化学习是一种强化学习.太阳能预测 太阳能预测太阳能电池板效率效率 太阳能电池板效率

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