IP Verse

Systems And Methods For Continuous Machine Learning Based Control Of Wind Turbines - EP3862561

The patent EP3862561 was granted to General Electric on Apr 19, 2023. The application was originally filed on Feb 5, 2021 under application number EP21155544A. The patent is currently recorded with a legal status of "Granted And Under Opposition".

EP3862561

GENERAL ELECTRIC
Application Number
EP21155544A
Filing Date
Feb 5, 2021
Status
Granted And Under Opposition
Mar 17, 2023
Publication Date
Apr 19, 2023
External Links
Slate, Register, Google Patents

Patent Summary

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Patent Family

Patent Oppositions (2)

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WOBBEN PROPERTIESJan 19, 2024EISENFUHR SPEISERADMISSIBLE
VESTAS WIND SYSTEMSJan 18, 2024SAMSON & PARTNER PATENTANWALTE MBBADMISSIBLE

Patent Citations (16) New

Patent citations refer to prior patents cited during different phases such as opposition or international search.

Citation PhasePublication Number
OPPOSITIONCN106704103
OPPOSITIONEP1873396
OPPOSITIONEP2878811
OPPOSITIONEP3088733
OPPOSITIONEP3118783
OPPOSITIONJP2019165599
OPPOSITIONUS2011133458
OPPOSITIONUS2016333855
OPPOSITIONUS2019155228
OPPOSITIONWO2011076295
OPPOSITIONWO2012164075
OPPOSITIONWO2017211367
SEARCHEP3273055
SEARCHUS2014100703
SEARCHUS2016084233
SEARCHUS2018335019

Non-Patent Literature (NPL) Citations (10) New

NPL citations refer to non-patent references such as research papers, articles, or other publications cited during examination or opposition phases.

Citation PhaseReference Text
OPPOSITION- Amrudin Agovic, "Anomaly Detection in Transportation Corridors using Manifold Embedding", (20080101), XP093157813
OPPOSITION- Andreas Sedlmeier; Thomas Gabor; Thomy Phan; Lenz Belzner; Claudia Linnhoff-Popien, "Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning", arXiv.org, (20190108), XP081012427
OPPOSITION- Anonymous, "Anomaly detection", Wikipedia, (20200103), URL: https://en.wikipedia.org/w/index.php?title=Anomaly_detection&oldid=933789500, XP093157814
OPPOSITION- Anonymous, "Kubernetes Services for Machine Learning", (20190629), URL: https://web.archive.org/web/20190629105942/https://mlinproduction.com/, XP093157816
OPPOSITION- Luigi, "The Ultimate Guide to Model Retraining", (20190610), URL: https://mlinproduction.com/model-retraining/, XP093157815
OPPOSITION- Riedmiller Martin, "Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method", Riedmiller Martin, Lee, Seong-Whan ; Li, Stan Z, SAT 2015 18th International Conference, Austin, TX, USA, September 24-27, 2015, Berlin, Heidelberg , Springer , (20051003), vol. 3720 Chap.32, pages 317 - 328, 032548, doi:10.1007/11564096_32, ISBN 3540745491, XP047461156
OPPOSITION- Wei Chun; Zhang Zhe; Qiao Wei; Qu Liyan, "Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion Systems", IEEE Transactions on industrial electronics, IEEE SERVICE CENTER, PISCATAWAY, NJ., USA, USA , (20151001), vol. 62, no. 10, doi:10.1109/TIE.2015.2420792, ISSN 0278-0046, pages 6360 - 6370, XP011668491
OPPOSITION- Wei Chun; Zhang Zhe; Qiao Wei; Qu Liyan, "An Adaptive Network-Based Reinforcement Learning Method for MPPT Control of PMSG Wind Energy Conversion Systems", IEEE Transactions on Power Electronics, Institute of Electrical and Electronics Engineers, USA, USA , (20161101), vol. 31, no. 11, doi:10.1109/TPEL.2016.2514370, ISSN 0885-8993, pages 7837 - 7848, XP011615255
OPPOSITION- Aarti Singh, "Adaptive Hausdorff estimation of density level sets", ANNALS OF STATISTICS., HAYWARD, CA, US, US , (20091001), vol. 37, no. 5B, doi:10.1214/08-AOS661, ISSN 0090-5364, pages 1 - 48, XP093157812
OPPOSITION- Solowjow Friedrich; Baumann Dominik; Garcke Jochen; Trimpe Sebastian, "Event-Triggered Learning for Resource-Efficient Networked Control", 2018 Annual American Control Conference (ACC), AACC, (20180627), doi:10.23919/ACC.2018.8431102, pages 6506 - 6512, XP033387323

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