Forecasting top oil temperature for UHV reactor using Seq2Seq model with convolutional block attention mechanism (English)
- New search for: Jiang, Hao
- New search for: Zhang, Hongwei
- New search for: Chen, Jing
- New search for: Xiao, Sa
- New search for: Miao, Xiren
- New search for: Lin, Weiqing
- New search for: Mognaschi, Maria Evelina
- New search for: Jiang, Hao
- New search for: Zhang, Hongwei
- New search for: Chen, Jing
- New search for: Xiao, Sa
- New search for: Miao, Xiren
- New search for: Lin, Weiqing
- New search for: Mognaschi, Maria Evelina
In:
International Journal of Applied Electromagnetics and Mechanics
;
73
, 4
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283-302
;
2023
- Article (Journal) / Electronic Resource
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Title:Forecasting top oil temperature for UHV reactor using Seq2Seq model with convolutional block attention mechanism
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Contributors:Jiang, Hao ( author ) / Zhang, Hongwei ( author ) / Chen, Jing ( author ) / Xiao, Sa ( author ) / Miao, Xiren ( author ) / Lin, Weiqing ( author ) / Mognaschi, Maria Evelina ( author )
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Published in:International Journal of Applied Electromagnetics and Mechanics ; 73, 4 ; 283-302
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Publisher:
- New search for: IOS Press
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Place of publication:Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands
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Publication date:2023-12-14
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 73, Issue 4
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 235
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Introduction to the special issue Deep learning for analysis and synthesis in electromagneticsMognaschi, Maria Evelina et al. | 2023
- 237
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The application of artificial intelligence and machine learning in the design process for electromagnetic devicesLowther, David A. / Mognaschi, Maria Evelina et al. | 2023
- 255
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Multi-objective optimization of permanent magnet motors using deep learning and CMA-ESMikami, Ryosuke / Sato, Hayaho / Hayashi, Shogo / Igarashi, Hajime / Mognaschi, Maria Evelina et al. | 2023
- 265
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Convolutional neural networks applied to dissolved gas analysis for power transformers condition monitoringRao, Shaowei / Yang, Shiyou / Tucci, Mauro / Barmada, Sami / Mognaschi, Maria Evelina et al. | 2023
- 283
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Forecasting top oil temperature for UHV reactor using Seq2Seq model with convolutional block attention mechanismJiang, Hao / Zhang, Hongwei / Chen, Jing / Xiao, Sa / Miao, Xiren / Lin, Weiqing / Mognaschi, Maria Evelina et al. | 2023
- 303
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Linear antenna array modeling with deep neural networksDi Barba, Paolo / Januszkiewicz, Łukasz / Mognaschi, Maria Evelina et al. | 2023
- 321
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Modeling of the interaction between human body and electromagnetic waves near resonance using machine learningHizem, Moez / Ben Saada, Aymen / Ben Mbarek, Sofiane / Choubani, Fethi / Mognaschi, Maria Evelina et al. | 2023
- 339
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The use of an LSTM-based autoencoder for measurement denoising in process tomographyKłosowski, Grzegorz / Rymarczyk, Tomasz / Wójcik, Dariusz / Mognaschi, Maria Evelina et al. | 2023
- 353
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Influence of loss function on training the LSTM network in wall moisture tomographyRymarczyk, Tomasz / Kulisz, Monika / Kłosowski, Grzegorz / Mognaschi, Maria Evelina et al. | 2023
- 369
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Predicting of spatial electric field generated by substation switch operation based on AOS-GCN-LSTM ModelShi, Jinpeng / Wang, Donglai / Zhao, Yan / Li, Chengze / Zhang, Aijun / Mognaschi, Maria Evelina et al. | 2023
- 389
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Neural metamodels and transfer learning for induction heating processes (TEAM 36 problem)Di Barba, Paolo / Dughiero, Fabrizio / Forzan, Michele / Lowther, David A. / Marconi, Antonio / Mognaschi, Maria Evelina / Sykulski, Jan K. et al. | 2023
- 399
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A hybrid dynamic hysteresis model based on the Preisach model and stacked auto-encoderMa, Yangyang / Li, Yongjian / Chen, Ruiying / Yue, Shuaichao / Sun, He / Mognaschi, Maria Evelina et al. | 2022
- 415
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Employing automatic differentiation and neural networks for parameter identification of an energy based hysteresis modelMušeljić, Eniz / Roppert, Klaus / Domenig, Lukas Daniel / Köstinger, Alice Reinbacher / Kaltenbacher, Manfred / Mognaschi, Maria Evelina et al. | 2023