基于封闭的循环单元神经网络和修改后的未来搜索算法,预测智能电网中的电力消耗和水电生产情况

Hao Tang1, Yuening Wang2, Xinping Yuan3

  • 1Information Center, Yunnan Power Grid Co., LTD, Kunming, 650000, Yunnan, China. tangtonight@163.com.

Scientific reports
|December 22, 2025
PubMed
概括

精确的电力使用和水力发电预测是通过使用一种新的Gated Recurrent Unit (GRU) 神经网络和修改后的未来搜索算法 (MFSA) 模型实现的. 这种优化的方法提高了智能电网效率和资源分配.

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