电力负载预测的新前沿:LSV/MOPA模型通过修改的鱼捕食算法进行优化

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Guanyu Yan1, Jinyu Wang1, Myo Thwin2,3

  • 1School of Electrical and Information Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, China.

Heliyon
|February 1, 2024
PubMed
概括

一个新的混合模型,LSV/MOPA,提高了电力负载预测的准确性. 这种先进的技术结合了长短期记忆 (LSTM) 和支持向量回归 (SVR),通过一种新的算法进行了优化,优于现有方法.

关键词:
性能进行比较.算法的效率算法的效率.预测电力负载的预测混合技术是一种混合技术.长期短期记忆 长期短期记忆修改过的鱼捕食算法韩国 韩国 韩国 韩国支持矢量回归的支持矢量回归

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