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Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting

Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting

4 July 2023
Zhenwei Zhang
Xin Wang
Jingyuan Xie
Heling Zhang
Yuantao Gu
    AI4TS
ArXivPDFHTML

Papers citing "Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting"

3 / 3 papers shown
Title
National-scale electricity peak load forecasting: Traditional, machine
  learning, or hybrid model?
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?
Juyong Lee
Youngsang Cho
24
90
0
30 Jun 2021
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
  on Time Series Forecasting
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
AI4TS
107
1,416
0
29 Jun 2019
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
563
7,992
0
13 Jun 2015
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