Short-term and long-term inertia forecasting with low-inertia event prediction in IBR-integrated power systems using a deep learning approach
The integration of renewable energy sources (RES), particularly inverter-based resources (IBRs) such as solar and wind power, has significantly reduced dependence on conventional synchronous generators, thereby decreasing system-wide spinning inertia. This reduction results in rapid changes in the r...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671125001287 |
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