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Short-term Load Forecasting with Deep Residual Networks

Short-term Load Forecasting with Deep Residual Networks

30 May 2018
Kunjin Chen
Kunlong Chen
Qin Wang
Ziyu He
Jun Hu
Jinliang He
ArXivPDFHTML

Papers citing "Short-term Load Forecasting with Deep Residual Networks"

13 / 13 papers shown
Title
Deep and Confident Prediction for Time Series at Uber
Deep and Confident Prediction for Time Series at Uber
Lingxue Zhu
N. Laptev
BDL
AI4TS
108
344
0
06 Sep 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
242
2,496
0
08 Jun 2017
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
John E. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
113
942
0
01 Apr 2017
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Liming Zhao
Jingdong Wang
Xi Li
Zhuowen Tu
Yueting Zhuang
MoMe
70
68
0
23 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
631
36,599
0
25 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang
Miao Sun
T. Han
Xingfang Yuan
Liru Guo
Tao Liu
55
306
0
09 Aug 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
338
18,300
0
27 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
288
10,149
0
16 Mar 2016
Lasso estimation for GEFCom2014 probabilistic electric load forecasting
Lasso estimation for GEFCom2014 probabilistic electric load forecasting
F. Ziel
Bidong Liu
34
72
0
04 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
476
9,233
0
06 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
200
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
857
149,474
0
22 Dec 2014
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