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Reinforcement-Learning-forPowerGrid-Operation_and_Maineinance
reinforcement learning for power grid optimal operations and maintenanceScenarioRBDO
A set of methods and proprieties to perform reliability-based-design-optimization by Scenario theory. Scenario optimization makes direct use of the available data (the uncertain parameters delta) thereby eliminating the need for estimating the distribution of the uncertain parametersScenarioIPM
Different Training Schemes for Interval Predictor Model and Generalization Bounds on the reliability of their predictionsHeat_and_Electric_powerNetwork
Heat and electric grid simulation and resilience analysisControllerRobust
Reliability based design optimization of a non-linear controllerBayesian_Model_Updating
Bayesian Framework for UpdatingDegradation-data-LED-packages-and-lamps
A database of anonimiyed degradation(longitudinal) and reliability data from several light-edmitting diodes packages and lamps, obtained from accelerated stress tests like IES LM-80iesLove Open Source and this site? Check out how you can help us