Experimental Data for the Paper "Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines"
收藏DataCite Commons2024-04-26 更新2024-07-13 收录
下载链接：
https://radar.kit.edu/radar/en/dataset/sLJiahifxvfDKMEc
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资源简介：
These are experimental data for the paper:
Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, Dustin Kottonau, and Klemens Böhm. 2024. Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines, 15th ACM International Conference on Future Energy Systems (e-Energy '24), Singapore
The data consist of:
1. experimental time series data collected from a micro gas turbine
2. results from the experiments and the corresponding code to create plots used in the paper
The corresponding GitHub repository:
https://github.com/Energy-Theory-Guided-Data-Science/Gas-Turbine
提供机构：
Karlsruhe Institute of Technology
创建时间：
2024-04-26
