Markov Chain Monte Carlo Methods Applied to a Synchronous Generator Model

Markov Chain Monte Carlo (MCMC) approaches are widely used for tuning model parameters to fit process measurements. While modern probabilistic programming languages (PPLs) such as Stan, PyMC, and Turing have made it easier to implement efficient MCMC samplers, configuring them for high dimensional a...

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Bibliographic Details

Main Authors:	Kushila Jayamanne, Zhe Ban, Madhusudhan Pandey, Ali Ghaderi, Bernt Lie
Format:	Artigo
Language:	Inglês
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Markov chain Monte Carlo Metropolis-Hastings model uncertainty no-U-turn sampler parameter estimation
Online Access:	https://ieeexplore.ieee.org/document/10288454/
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