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Artículo
Parameter estimation for hot-spot thermal model of power transformers using unscented Kalman filters
(IEEE, 2023)
This paper presents a parameter estimation technique for the hot-spot thermal model of power transformers. The proposed technique is based on the unscented formulation of the Kalman filter, jointly considering the state ...
Artículo
Roles of dynamic state estimation in power system modeling, monitoring and operation
(Institute of Electrical and Electronics Engineers Inc., 2021)
Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-synchronized measurements, and the advances ...
Artículo
Monitoring and Tracking the Evolution of a Viral Epidemic Through Nonlinear Kalman Filtering: Application to the COVID-19 Case
(IEEE Explore, 2022)
This work presents a novel methodology for systematically processing the time series that report the number of positive, recovered and deceased cases from a viral epidemic, such as Covid-19. The main objective is ...
Artículo
Parameter Estimation of Wind Turbines with PMSM using Cubature Kalman Filters
(Institute of Electrical and Electronics Engineers (IEEE), 2020-05)
This paper presents a parameter estimation technique for a variable-speed wind turbine with permanent magnet synchronous generator and back-to-back voltage source converter. The proposed technique applies the cubature ...