相关实验视频

Updated: May 5, 2026

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
07:12

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers

Published on: December 12, 2025

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住宅房屋能源消耗的增强预测模型:在中国的一个案例研究

Haining Tian1,2, Haji Endut Esmawee2, Ramele Ramli Rohaslinda2

  • 1Research Center of Livable Construction of Human Settlements in Qinling-Daba Mountains, Shaanxi University of Technology, Hanzhong 723001, China.

Biomimetics (Basel, Switzerland)
|October 28, 2025
PubMed
概括

本研究介绍了一种改进的生物灵感黑翼优化算法 (IBKA),与支持向量回归 (SVR) 集成,以准确预测中国农村家庭的能源消耗. IBKA-SVR模型显著提高了预测准确性,为优化建筑设计以实现可持续性提供了宝贵的工具.

关键词:
中央委员会2017年CEC2017年能源消耗 能源消耗是指能源的消耗.改进了 BKA 的 BKA.影响因素是影响因素.预测模型 预测模型住宅建筑是指住宅建筑.

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