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Updated: Feb 14, 2026

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
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一个使用人工智能数字双胞胎的多策略优化框架,用于智能电网的碳排放减少

S Sakthivel1, M Arivukarasi2, G Charulatha3

  • 1Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamil Nadu, 602105, India. sakthi0707@gmail.com.

Scientific reports
|February 12, 2026
PubMed
概括

这项研究介绍了智能电网的AI数字双胞胎,优化多样化的能源存储,以促进可再生能源的使用,并将碳排放量减少30%. 模型预测控制 (MPC) 为现实应用提供了性能和复杂性的实用平衡.

关键词:
人工智能优化AI优化碳中和的智能电网是什么数字双胞胎 数字双胞胎 数字双胞胎模型预测控制模型预测控制多种能源储存多种能源储存.可再生能源是可再生的能源.

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