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多地平线短期负载预测使用混合LSTM和修改的分裂卷积

Irshad Ullah1, Syed Muhammad Hasanat1, Khursheed Aurangzeb2

  • 1Electrical Engineering Kohat, University of Engineering & Technology Peshawar, Peshawar, KPK, Pakistan.

PeerJ. Computer science
|October 9, 2023
PubMed
概括

本研究引入了一种新的混合LSTM-SC模型,用于准确的短期负载预测 (STLF). 该技术通过提高负载预测准确性和可靠性来增强电力系统操作.

关键词:
在美国,CNN是CNN.深度学习是一种深度学习.电力负载消耗电力负载消耗混合动力是一个混合动力.这是LSTM的LSTM.短期负载预测 (STLF) 是一种智能电网是一个智能电网.时间序列预测时间序列预测

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