Title :
GIC prediction based on the polynomial distribution lag model
Author :
He, Feng-xia ; Mu, Xue-ling ; Liu, Lian-Guang
Author_Institution :
Sch. of Math. & Phys., North China Electr. Power Univ., Beijing, China
Abstract :
The authors establish the polynomial distribution lag model of GIC about the geomagnetic level change rate based on the geomagnetic data and GIC measuring data on the power systems. By testing, the model is reliable and the prediction result is more accurate. The research results are of great significance for the analysis of the impart of magnetic storms and the warning or prediction of the magnetic storms.
Keywords :
geophysical catastrophes; geophysical techniques; magnetic storms; polynomials; GIC measuring data; GIC prediction; geomagnetic data; geomagnetic level change rate; geomagnetically induced current; magnetic storms; polynomial distribution lag model; power system; Geomagnetism; Polynomials; Power measurement; Power system analysis computing; Power system measurements; Power system modeling; Power system reliability; Predictive models; Storms; Testing; GIC; Polynomial distribution lag model; Residual modification;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212224