使.

Rahul Satheesh1, Sunitha Rajan2

  • 1Amrita School of Artificial Intelligence, Coimbatore, Amrita Vishwa Vidyapeetham, India.

ISA transactions
|August 25, 2023
PubMed
概括

本研究引入了一种使用基于时间变异过器的实证模式分解 (TVF-EMD) 和泰格凯泽能源运营商 (TKEO) 来分析电力系统振荡的新方法. 该方法有效地从现实世界的数据中估计机电模式属性,并减少计算负载.

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