Name
Title | ||
|---|---|---|
Ultra-short-term wind generation forecast based on multivariate empirical dynamic modeling. |
Abstract | ||
|---|---|---|
Wind generation forecast approaches are typically based on fixed model structures, which might fit well with existing data but fall short in forecasting out-of-sample data. The reason lies in that predetermined models cannot always capture the actual dynamic features of wind farms, resulting in unavoidable model errors. In this paper, a novel ultra-short-term wind generation forecast approach base... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIA.2017.2782207 | IEEE Transactions on Industry Applications |
Keywords | Field | DocType |
Wind forecasting,Wind farms,Predictive models,Time series analysis,Trajectory,Power system dynamics | Econometrics,Attractor,Multivariate statistics,Correctness,Algorithm,Simplex,System dynamics,State variable,Takens' theorem,Wind power,Mathematics | Conference |
Volume | Issue | ISSN |
54 | 2 | 0093-9994 |
Citations | PageRank | References |
1 | 0.37 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiayi Ma | 1 | 1302 | 65.86 |
| Ming Yang | 2 | 3 | 1.80 |
| Xueshan Han | 3 | 6 | 4.35 |
| Zhi Li | 4 | 478 | 93.46 |