Accelerated kriging interpolation for real-time grid frequency forecasting
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Acceso en línea: | |
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| _version_ | 1866910100144259072 |
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| author | Moreno-Blazquez, Carlos Fele, Filiberto Alamo, Teodoro |
| author_facet | Moreno-Blazquez, Carlos Fele, Filiberto Alamo, Teodoro |
| contents | The integration of renewable energy sources and distributed generation in the power system calls for fast and reliable predictions of grid dynamics to achieve efficient control and ensure stability. In this work, we present a novel nonparametric data-driven prediction algorithm based on kriging interpolation, which exploits the problem's numerical structure to achieve the required computational efficiency for fast real-time forecasting. Our results enable accurate frequency prediction directly from measurements, achieving sub-second computation times. We validate our findings on a simulated distribution grid case study. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_02932 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Accelerated kriging interpolation for real-time grid frequency forecasting Moreno-Blazquez, Carlos Fele, Filiberto Alamo, Teodoro Systems and Control The integration of renewable energy sources and distributed generation in the power system calls for fast and reliable predictions of grid dynamics to achieve efficient control and ensure stability. In this work, we present a novel nonparametric data-driven prediction algorithm based on kriging interpolation, which exploits the problem's numerical structure to achieve the required computational efficiency for fast real-time forecasting. Our results enable accurate frequency prediction directly from measurements, achieving sub-second computation times. We validate our findings on a simulated distribution grid case study. |
| title | Accelerated kriging interpolation for real-time grid frequency forecasting |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2604.02932 |