XGBoost-based short-term prediction method for power system inertia and its interpretability
Anticipating changes in system inertia is crucial for maintaining the stability and reliability of new power systems. While machine learning prediction models can be effective in this regard, many of these models are “black-box” models that lack interpretability, making it difficult to understand th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723004274 |