Name
Title | ||
|---|---|---|
Identifiability Analysis Of A Wind Generation Unit Model Using Global Sensitivity Analysis |
Abstract | ||
|---|---|---|
This paper presents a parameter identifiability method based on the Global Sensitivity Analysis (GSA), and its application in parameter estimation of a wind generation unit model. The GSA determines which model parameters will effect observations that are used in the parameter estimation procedure. Parameters with negligible impact on the observations are not identifiable. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICIT.2016.7474888 | PROCEEDINGS 2016 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT) |
Keywords | Field | DocType |
parameter estimation, identifiability analysis, global sensitivity analysis, wind generation unit model | Control theory,Identifiability,Identifiability analysis,Decision support system,Engineering,Global sensitivity analysis,Estimation theory,Wind power | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qing Fang | 1 | 0 | 0.34 |
| Rastko Zivanovic | 2 | 13 | 4.74 |