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使用水基MnO2纳米流体和机器学习模型的光伏热收集器的性能提升

M P Rajakumar1, S Senthil Kumar2, B Srimanickam3

  • 1Department of Artificial intelligence and Data Science, St.Joseph's College of Engineering, Chennai, 600 119, India.

Scientific reports
|November 13, 2025
PubMed
概括

二氧化 (MnO2) 纳米流体通过改善热调节,显著提高了太阳能光伏热 (PVT) 收集器的效率. 机器学习模型,特别是辐射基函数 (RBF),准确地预测系统性能,以优化太阳能采集.

关键词:
电能效率 电能效率 电能效率 电能效率 电能效率在MLP中,MLP是MLP.机器学习 机器学习MnO2 MnO2 是一种有机物.这是PVT的PVT.动力 动力 动力 动力在RBF中,RBF是RBF.这就是为什么RF是RF,RF是RF水水水水水,这是一个很好的方法.

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