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Scene Learning: Deep Convolutional Networks For Wind Power Prediction by
  Embedding Turbines into Grid Space
v1v2 (latest)

Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space

16 July 2018
Ruiguo Yu
Zhiqiang Liu
Xuewei Li
Wenhuan Lu
Mei Yu
Jianrong Wang
Bin Li
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space"

5 / 5 papers shown
Title
Forecasting wind power - Modeling periodic and non-linear effects under
  conditional heteroscedasticity
Forecasting wind power - Modeling periodic and non-linear effects under conditional heteroscedasticity
F. Ziel
Carsten Croonenbroeck
D. Ambach
47
17
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,886
0
20 May 2016
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
268
6,130
0
04 Sep 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,893
0
12 Nov 2013
1