A multi-source feature temporal convolutional deep learning-based method for power grid icing prediction

Author:

Wen Yi,Wu Jianrong,Gao Zhenghao,He Jinqiang,Li Hao,Zhao Linjie

Publisher

IEEE

Reference6 articles.

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3. Deep sparse rectifier neural networks;glorot;Proceedings of the International Conference on Artificial Intelligence and Statistics,2011

4. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;bai,2018

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Source and Multi-Powered Smart Grid Prediction Using Deep Learning;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

2. Prediction of Street Icing Using Artificial Neural Network;Science and Global Challenges of the 21st Century – Innovations and Technologies in Interdisciplinary Applications;2023

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