Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines

Author:

Bielski Pawel1ORCID,Eismont Aleksandr1ORCID,Bach Jakob1ORCID,Leiser Florian1ORCID,Kottonau Dustin1ORCID,Böhm Klemens1ORCID

Affiliation:

1. Karlsruhe Institute of Technology, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

ACM

Reference29 articles.

1. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mane Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viegas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2016. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. http://arxiv.org/abs/1603.04467 arXiv:1603.04467 [cs].

2. Yaser Abu-Mostafa. 1992. A Method for Learning From Hints. In Advances in Neural Information Processing Systems Vol. 5. Morgan-Kaufmann. https://proceedings.neurips.cc/paper/1992/hash/7750ca3559e5b8e1f44210283368fc16-Abstract.html

3. The Role of Micro Gas Turbines in Energy Transition

4. Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems

5. CIGRE Task Force C4.02.25. 2003. Modeling of gas turbines and steam turbines in combined cycle power plants. CIGRE Technical Brochure 238 (2003).

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