2015
DOI: 10.1016/j.jngse.2015.08.057
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A new method to improve estimation of uncertain parameters in the Ensemble Kalman filter by re-parameterization employing prior statistics correction

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“…At present, Kalman filter method [15], least square method [16], General Algebraic modeling system (GAMS), machine learning and intelligent optimization algorithm are the main methods used in identifying PV parameters. Traditional methods such as Kalman filter method and least square method, are based on linear system, so the identification accuracy is poor and the model is prone to large distortion for nonlinear problems like PV model [17].…”
mentioning
confidence: 99%
“…At present, Kalman filter method [15], least square method [16], General Algebraic modeling system (GAMS), machine learning and intelligent optimization algorithm are the main methods used in identifying PV parameters. Traditional methods such as Kalman filter method and least square method, are based on linear system, so the identification accuracy is poor and the model is prone to large distortion for nonlinear problems like PV model [17].…”
mentioning
confidence: 99%