Hi, I am a student learning things about power system and ML. I have read your article , watched your video and viewed this github project. Yet I still don't know how to get synthetic data for ML. If my readings are not so bad, I think your article shows that with an approach the computer can generate a large amount of data in a very short time. However, your project here only shows IEEE14, so how should I generate data for other systems mentioned in the article? Like IEEE9 etc.
Secondly, as mentioned in the code"For each contingency, a linearization procedure is performed in Dymola, obtaining the eigenvalues of the system matrix that characterizes the operating condition of the system after the applied perturbation. A total of 19815 simulations are generated, each with 49 eigenvalues. Therefore, the resulting number of 970935 eigenvalues." Does that means user should generate a large amount of data by themselves first in Dymola? If so, is there any tutorials about it? I watched your video about SMIB Tutorial: Assembly and Power Flow Generation for Dynamic Simulation using OpenIPSL but it only shows how to simulate a system.https://github.com/ALSETLab/Time-Domain-Simulation-Performance-Benchmark/tree/masterIs this project more helpful for generating data?
Hi, I am a student learning things about power system and ML. I have read your article , watched your video and viewed this github project. Yet I still don't know how to get synthetic data for ML. If my readings are not so bad, I think your article shows that with an approach the computer can generate a large amount of data in a very short time. However, your project here only shows IEEE14, so how should I generate data for other systems mentioned in the article? Like IEEE9 etc.
Secondly, as mentioned in the code"For each contingency, a linearization procedure is performed in Dymola, obtaining the eigenvalues of the system matrix that characterizes the operating condition of the system after the applied perturbation. A total of 19815 simulations are generated, each with 49 eigenvalues. Therefore, the resulting number of 970935 eigenvalues." Does that means user should generate a large amount of data by themselves first in Dymola? If so, is there any tutorials about it? I watched your video about SMIB Tutorial: Assembly and Power Flow Generation for Dynamic Simulation using OpenIPSL but it only shows how to simulate a system.https://github.com/ALSETLab/Time-Domain-Simulation-Performance-Benchmark/tree/masterIs this project more helpful for generating data?