Name
Abstract | ||
|---|---|---|
This paper considers the use of sequential cluster weighted modeling (SCWM) for electric load transient recognition and energy consumption prediction that are promising for isolating the deleterious load transients from delicate renewable sources. Two computational processes co-exist in the SCWM scheme. In the training process, we propose a cluster weighted normalized least mean squares modification of the expectation maximization method to address the singular matrix inversion problem in updating the local model parameters. For the prediction process, we propose a sequential version of the CWM prediction that not only improves the real time performance of load transient recognition, but also resolves online overlapping transients. Other real time transient processing issues are also addressed. The methods are demonstrated using benchmark electric load transients. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TSG.2013.2256804 | IEEE Trans. Smart Grid |
Keywords | Field | DocType |
expectation-maximisation algorithm,pattern clustering,sequential cluster weighted modeling,power system transients,benchmark electric load transients,energy consumption prediction,maximum likelihood estimation,expectation maximization method,scwm scheme,cluster weighted normalized least mean square modification,gaussian distributions,expectation maximization,electric variables measurement,singular matrix inversion problem,least-mean-squares,renewable sources,least squares approximations,clustering methods,matrix inversion,online overlapping transients,smart power grids,electric load transient recognition,load forecasting,local model parameters,cluster weighted modeling method,statistical learning,adaptive estimation | Least mean squares filter,Mathematical optimization,Normalization (statistics),Electrical load,Expectation–maximization algorithm,Inversion (meteorology),Computer science,Cwm,Algorithm,Control engineering,Cluster-weighted modeling,Energy consumption | Journal |
Volume | Issue | ISSN |
4 | 4 | 1949-3053 |
Citations | PageRank | References |
1 | 0.41 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Zhu | 1 | 58 | 12.63 |
| Steven R. Shaw | 2 | 52 | 9.42 |
| Steven B. Leeb | 3 | 129 | 26.70 |