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Found 6 papers, 0 papers with code
How important are socioeconomic factors for hurricane performance of power systems? An analysis of disparities through machine learning
This paper investigates whether socioeconomic factors are important for the hurricane performance of the electric power system in Florida.
Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy
In this context, CLF provides a new direction for quantifying the impact of new training points and can be easily extended with new learning functions to adapt to different reliability problems.
Adaptive network reliability analysis: Methodology and applications to power grid
Flow network models can capture the underlying physics and operational constraints of many networked systems including the power grid and transportation and water networks.
Lyapunov-based uncertainty-aware safe reinforcement learning
Although recent advances in safe RL have enabled learning safe policies in CMDPs, these safety requirements should be satisfied during both training and in the deployment process.
Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging
The proposed VoI analysis framework is applied for an optimal decision-making problem involving load testing of a truss bridge.
REAK: Reliability analysis through Error rate-based Adaptive Kriging
Reliability analysis for these systems when failure probabilities are small is significantly challenging, requiring a large number of costly simulations.
