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GAETS: A Graph Autoencoder Time Series Approach Towards Battery
  Parameter Estimation

GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation

17 November 2021
E. Kosasih
Rucha Bhalchandra Joshi
Janamejaya Channegowda
    AI4TS
ArXivPDFHTML

Papers citing "GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation"

10 / 10 papers shown
Title
Lithium-ion Battery State of Health Estimation based on Cycle
  Synchronization using Dynamic Time Warping
Lithium-ion Battery State of Health Estimation based on Cycle Synchronization using Dynamic Time Warping
K. Zhou
Yan Qin
Billy Pik Lik Lau
Chau Yuen
Stefan Adams
41
9
0
28 Sep 2021
Merlion: A Machine Learning Library for Time Series
Merlion: A Machine Learning Library for Time Series
Aadyot Bhatnagar
Paul Kassianik
Chenghao Liu
Tian-Shing Lan
Wenzhuo Yang
...
Yingbo Zhou
Caiming Xiong
Silvio Savarese
Guosheng Lin
Huan Wang
AI4TS
44
34
0
20 Sep 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
125
238
0
18 Jan 2021
Battery Model Calibration with Deep Reinforcement Learning
Battery Model Calibration with Deep Reinforcement Learning
Ajaykumar Unagar
Yuan Tian
M. A. Chao
Olga Fink
38
1
0
07 Dec 2020
A Temporal Convolution Network Approach to State-of-Charge Estimation in
  Li-ion Batteries
A Temporal Convolution Network Approach to State-of-Charge Estimation in Li-ion Batteries
A. Herle
Janamejaya Channegowda
Dinakar Prabhu
19
4
0
19 Nov 2020
A Graph Autoencoder Approach to Causal Structure Learning
A Graph Autoencoder Approach to Causal Structure Learning
Ignavier Ng
Shengyu Zhu
Zhitang Chen
Zhuangyan Fang
BDL
CML
44
82
0
18 Nov 2019
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
Ling Zhao
Yujiao Song
Chao Zhang
Yu Liu
Pu Wang
Tao Lin
Min Deng
Haifeng Li
AI4TS
73
2,010
0
12 Nov 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng
Bryon Aragam
Pradeep Ravikumar
Eric Xing
NoLa
CML
OffRL
79
937
0
04 Mar 2018
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNN
AI4TS
110
3,700
0
14 Sep 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
125
768
0
22 Dec 2016
1