Eigen load model based yearly electric load demand evaluation and forecasting for state grid corporation of china
Author
Source
Issue
Vol. 9, Issue 2 (30 Jun. 2013), pp.223-242, 20 p.
Publisher
Publication Date
2013-06-30
Country of Publication
Algeria
No. of Pages
20
Main Subjects
Topics
Abstract EN
This study addresses the yearly load movement evaluation and forecasting based on the Principal Component Analysis (PCA).
A called Eigenload model for describing the annual load movement by employing PCA is introduced.
Principal orthogonal eigenvectors of covariance matrix of the load data called “Eigenloads” are used to build subspace for the load movement evaluation.
Each load movement is projected onto subspace of the eigenspace and described by a linear combination of the “Eigenloads”.
Incorporated with the polynomial curve fitting algorithm to estimate its subsequent representation weights with respect to the “Eigenloads” generated by previous load movements, the Eigenload model is extended to forecasting subsequent movement of the load demand.
The proposed method is applied to experiments of annual load demand evaluation for State Grid Corporation of China (SG) and its five branches in 2004-2006, and forecasting for their annual load demands in 2007.
Experimental results agreeing well with their actual load demands show workability of the proposed model.
Result analysis indicates that the Eigenload model is outperforming the classical autoregressive (AR) model on the forecast tasks.
American Psychological Association (APA)
Zongchang, Yang. 2013. Eigen load model based yearly electric load demand evaluation and forecasting for state grid corporation of china. Journal of Electrical Systems،Vol. 9, no. 2, pp.223-242.
https://search.emarefa.net/detail/BIM-329018
Modern Language Association (MLA)
Zongchang, Yang. Eigen load model based yearly electric load demand evaluation and forecasting for state grid corporation of china. Journal of Electrical Systems Vol. 9, no. 2 (Jun. 2013), pp.223-242.
https://search.emarefa.net/detail/BIM-329018
American Medical Association (AMA)
Zongchang, Yang. Eigen load model based yearly electric load demand evaluation and forecasting for state grid corporation of china. Journal of Electrical Systems. 2013. Vol. 9, no. 2, pp.223-242.
https://search.emarefa.net/detail/BIM-329018
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 240-242
Record ID
BIM-329018