,

Yao Peng1, Yang Chen2

  • 1Hunan Urban Construction Vocational and Technical College, Hunan, China.

PloS one
|September 8, 2023
PubMed
概括

这项研究引入了使用人工神经网络和五个优化器预测建筑热负荷的新型混合算法. 贝卢加优化算法在估计年度热能需求方面表现出最高的准确性.

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