Deep belief network based nonlinear representation learning for transient stability assessment

2017 IEEE Power & Energy Society General Meeting ◽

10.1109/pesgm.2017.8274126 ◽

2017 ◽

Author(s):

Le Zheng ◽

Wei Hu ◽

Yifan Zhou ◽

Yong Min ◽

Xialing Xu ◽

...

Keyword(s):

Transient Stability ◽

Representation Learning ◽

Deep Belief Network ◽

Stability Assessment ◽

Belief Network ◽

Nonlinear Representation

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Improved Deep Belief Network and Model Interpretation Method for Power System Transient Stability Assessment

Journal of Modern Power Systems and Clean Energy ◽

10.35833/mpce.2019.000058 ◽

2020 ◽

Vol 8 (1) ◽

pp. 27-37 ◽

Author(s):

Shuang Wu ◽

Le Zheng ◽

Wei Hu ◽

Rui Yu ◽

Baisi Liu

Keyword(s):

Power System ◽

Transient Stability ◽

Deep Belief Network ◽

Stability Assessment ◽

Belief Network ◽

Model Interpretation ◽

Interpretation Method

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DBNLDA: Deep Belief Network based representation learning for lncRNA-disease association prediction

Applied Intelligence ◽

10.1007/s10489-021-02675-x ◽

2021 ◽

Author(s):

Manu Madhavan ◽

G. Gopakumar

Keyword(s):

Representation Learning ◽

Disease Association ◽

Deep Belief Network ◽

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Deep Belief Network Enabled Surrogate Modeling for Fast Preventive Control of Power System Transient Stability

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2021.3072594 ◽

2021 ◽

pp. 1-1

Author(s):

Tong Su ◽

Youbo Liu ◽

Junbo Zhao ◽

Junyong Liu

Keyword(s):

Power System ◽

Transient Stability ◽

Surrogate Modeling ◽

Deep Belief Network ◽

Preventive Control ◽

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Data Augment Using Deep Convolutional Generative Adversarial Networks for Transient Stability Assessment of Power Systems

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189289 ◽

2020 ◽

Author(s):

Jiamin Li ◽

Hongying Yang ◽

Liping Yan ◽

Zonghan Li ◽

Daowei Liu ◽

...

Keyword(s):

Power Systems ◽

Transient Stability ◽

Generative Adversarial Networks ◽

Stability Assessment ◽

Adversarial Networks

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A Novel Methodology for Process Monitoring by Using Deep Belief Network

SSRN Electronic Journal ◽

10.2139/ssrn.3604720 ◽

2020 ◽

Author(s):

Jonathan Antoine ◽

John Lundberg

Keyword(s):

Process Monitoring ◽

Deep Belief Network ◽

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A novel data mining approach to transient stability assessment based on associative classification

10.1049/cp:20030629 ◽

2003 ◽

Author(s):

Z.H. Yu

Keyword(s):

Data Mining ◽

Transient Stability ◽

Stability Assessment ◽

Associative Classification ◽

Data Mining Approach

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Transient stability assessment model with improved cost-sensitive method based on the fault severity

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2020.0967 ◽

2020 ◽

Vol 14 (20) ◽

pp. 4605-4611

Author(s):

Huaiyuan Wang ◽

Qingyin Wang ◽

Qifan Chen

Keyword(s):

Transient Stability ◽

Assessment Model ◽

Stability Assessment ◽

Fault Severity ◽

Sensitive Method

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Software Defect Prediction via Deep Belief Network

Chinese Journal of Electronics ◽

10.1049/cje.2019.06.012 ◽

2019 ◽

Vol 28 (5) ◽

pp. 925-932

Author(s):

Hua WEI ◽

Chun SHAN ◽

Changzhen HU ◽

Yu ZHANG ◽

Xiao YU

Keyword(s):

Deep Belief Network ◽

Defect Prediction ◽

Software Defect Prediction ◽

Belief Network ◽

Software Defect

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Autonomic Workload Performance Modeling for Large-Scale Databases and Data Warehouses through Deep Belief Network with Data Augmentation using Conditional Generative Adversarial Networks

IEEE Access ◽

10.1109/access.2021.3096039 ◽

2021 ◽

pp. 1-1

Author(s):

Nusrat Shaheen ◽

Basit Raza ◽

Ahmad Raza Shahid ◽

Ahmad Kamran Malik

Keyword(s):

Large Scale ◽

Performance Modeling ◽

Data Augmentation ◽

Deep Belief Network ◽

Generative Adversarial Networks ◽

Data Warehouses ◽

Belief Network ◽

Adversarial Networks

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Pose accuracy compensation of mobile industry robot with binocular vision measurement and deep belief network

Optik ◽

10.1016/j.ijleo.2021.166716 ◽

2021 ◽

Vol 238 ◽

pp. 166716

Author(s):

Wei Wang ◽

Wei Tian ◽

Wenhe Liao ◽

Bo Li

Keyword(s):

Binocular Vision ◽

Deep Belief Network ◽

Belief Network ◽

Vision Measurement ◽

Mobile Industry

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