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Online Dynamic Parameter Estimation of Synchronous MachinesA Thesis Presented in Partial Fulfillment of the Requirements for the Degree of Master of Science with a Major in Electrical Engineering
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State and parameter estimation involves using statistical methods to infer the values of unobserved variables (states) and known variables (parameters) in a given system or model.
Individuals or organizations involved in modeling and analysis of systems or processes that require the estimation of unobserved states and parameters are typically required to file state and parameter estimation.
To fill out state and parameter estimation, one needs to follow the specified framework or guidelines provided for the estimation process, involving collection of relevant data, specification of the model, and application of estimation algorithms.
The purpose of state and parameter estimation is to improve the understanding and accuracy of models, facilitate decision-making, and enhance predictive performance by accurately determining the values of essential variables.
The information that must be reported typically includes the estimated values of states and parameters, the methodology used for estimation, data sources, uncertainties associated with the estimates, and any assumptions made during the process.
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