相关实验视频

在智能电网中同时预测电价和负载的双模型方法:比较稀疏编码器NAR和GA优化的LSTM

Nasir Nauman1,2,3, Sheeraz Akram1,2,4, Muhammad Rashid5

  • 1Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.

PloS one
|September 18, 2025
PubMed
概括

通过两种新的深度循环神经网络模型,在智能电网中实现了精确的电力负载和价格预测. 这些模型,SENARX和GA-LSTM,大大改进了传统的实时电网管理方法.

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