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Found 8 papers, 3 papers with code
Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence
Therefore, the electrical power grid's operation and energy and balancing markets are subject to strict regulations.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Physics-inspired machine learning for power grid frequency modelling
Finally, we generate synthetic time series from the model, which successfully reproduce central characteristics of the grid frequency such as their heavy-tailed distribution.
Predicting Dynamic Stability from Static Features in Power Grid Models using Machine Learning
In this article we propose a combination of network science metrics and machine learning models to predict the risk of desynchronisation events.
Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI
Here, we investigate the interaction of power imbalances - represented through the power grid frequency - and power flows on HVDC links between synchronous areas in Europe.
Secondary control activation analysed and predicted with explainable AI
Secondary control is key in restoring the power system to its reference following a disturbance.
Exploring deterministic frequency deviations with explainable AI
Deterministic frequency deviations (DFDs) critically affect power grid frequency quality and power system stability.
Revealing drivers and risks for power grid frequency stability with explainable AI
Stable operation of the electrical power system requires the power grid frequency to stay within strict operational limits.
Predictability of Power Grid Frequency
The power grid frequency is the central observable in power system control, as it measures the balance of electrical supply and demand.
