Fast and explainable warm-start point learning for AC optimal power flow using decision tree
The quality of starting point greatly influences the result and convergence efficiency of the optimization algorithm, especially for the non-convex and constrained Alternating Current Optimal Power Flow problem. Generally, speed and accuracy are the two main evaluation metrics for generating startin...
| Egile Nagusiak: | , , , , , |
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| Beste egile batzuk: | |
| Formatua: | Journal Article |
| Hizkuntza: | English |
| Argitaratua: |
2023
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| Gaiak: | |
| Sarrera elektronikoa: | https://hdl.handle.net/10356/170948 |