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Updated: Sep 17, 2025

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

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用时间嵌入时间卷积网络对光伏功率的短期预测

Jingxin Wang1,2, Guohan Li1, Jin Gu3

  • 1Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.

Scientific reports
|July 1, 2025
PubMed
概括

本研究介绍了时间嵌入的时间卷积网络 (ETCN),用于准确的光伏发电预测. 该ETCN模型通过整合空间和时间数据来增强预测,减少冗余和偏差.

关键词:
混合深度学习是一种混合深度学习.多步预测多步预测平行提取的同时提取.剩余的连接连接.时空特征是时间空间特征.

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