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001     1049196
005     20251211202159.0
024 7 _ |a 10.1109/AMPS66841.2025.11219969
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037 _ _ |a FZJ-2025-05278
041 _ _ |a English
100 1 _ |a Buechel, Maximilian
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111 2 _ |a 2025 IEEE 15th International Workshop on Applied Measurements for Power Systems (AMPS)
|c Bucharest
|d 2025-09-24 - 2025-09-26
|w Romania
245 _ _ |a Distribution Grid Voltage Estimation by Correlated Gaussian Processes
260 _ _ |c 2025
|b IEEE
300 _ _ |a 1-6
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520 _ _ |a Modern power distribution grids are facing significant monitoring challenges from renewable energy volatility and persistent measurement scarcity. In this paper, we propose a data-driven approach for voltage magnitude estimation in distribution systems using correlated Gaussian processes. We demonstrate that the proposed approach can be applied to a variety of monitoring configurations. Comparable accuracies are achieved even when the number of monitoring units is significantly reduced. Moreover, the results are obtained with the help of small training sets, allowing for short observation periods to generate training data. The proposed approach offers flexibility in terms of monitoring configurations and provides reliable voltage estimation in poorly monitored distribution networks.
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700 1 _ |a Zimmer, Marcel
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700 1 _ |a Carta, Daniele
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700 1 _ |a Benigni, Andrea
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773 _ _ |a 10.1109/AMPS66841.2025.11219969
856 4 _ |u https://ieeexplore.ieee.org/document/11219969
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