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Updated: Feb 14, 2026

C. elegans Positive Butanone Learning, Short-term, and Long-term Associative Memory Assays
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一个多策略增强的鱼优化算法长期短期内存-应用到短期电力负载预测微电网建筑的预测.

Lili Qu1, Qingfang Teng1, Hao Mai1

  • 1School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
概括

这项研究引入了一种混合模型,用于准确预测微电网中的短期电荷. 该方法结合了CEEMD,WOA和LSTM,以提高预测精度和提高电力系统稳定的效率.

关键词:
CEEMD (互补组合实证模式分解)预测 预测 预测 预测微电网是一个微电网.优化的优化优化优化.电力负载的功率负载.

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