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José Vinícius Santos de Araújo1, Micael Praxedes de Lucena2, Ademar Virgolino da Silva Netto1

  • 1Renewable and Alternatives Energies Center (CEAR), Electrical Engineering Department (DEE), Campus I, Federal University of Paraiba (UFPB), João Pessoa 58051-900, Brazil.

PubMed
概括

这项研究介绍了太阳能追踪器的AI算法,通过考虑天气和面板距离等因素来优化能源发电. 与传统追踪器相比,新系统显示了显著的能量增益.

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