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Updated: Sep 17, 2025

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
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自适应进化神经网络,用于高精度的短期电荷预测

Muhammad Abbas1, Yanbo Che1, Sarmad Maqsood2

  • 1Key Laboratory of Smart Grid of Ministry of Education, School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China.

Scientific reports
|July 2, 2025
PubMed
概括

一个新的自适应差异化进化-科尔莫戈罗夫-阿诺德网络 (SADE-KAN) 提高了短期电荷预测的准确性和效率. 这种先进的模型性能优于传统方法,为电力系统运行提供了强大的解决方案.

关键词:
预测电力负载的预测科尔摩戈罗夫阿诺尔德网络机器学习 机器学习优化优化 优化优化电力系统的动力系统.自适应的差异性进化.智能电网是一种智能电网.时间序列预测时间序列预测

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