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物联网驱动的混合神经模糊深度学习,用于成本和时间表优化建设能源管理系统

Deepshikha Shrivastava1,2, Prerna Goswami2

  • 1Applied Science Department-Electrical, Pimpri Chinchwad College of Engineering and Research, Pune, India.

Frontiers in artificial intelligence
|April 10, 2025
PubMed
概括

本研究介绍了一种具有成本效益的数据驱动方法,用于优化印度的建筑能耗,使用混合深度学习 (DL) 模型. 开发的支持物联网的建筑能源管理系统 (BEMS) 实现了大幅降低电费.

关键词:
DL DL 是一个字.建筑能源管理系统电力分类的分类.监控能源消耗 监控能源消耗能源互联网的互联网.

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