DocumentCode :
3597727
Title :
Load Forecast for System Operation In Peak Load Period
Author :
Jin, Liu ; Jilai, Yu ; Zhuo, Liu
Author_Institution :
Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin
fYear :
2007
Firstpage :
1
Lastpage :
6
Abstract :
Peak load forecast may serve as a preparation for the system operation in peak load period. Because the steep rise information in the forepart of peak load curve is liable to be lost during forecasting processes, we propose a strategy to preserve slope information of the forepart of peak load curve on the basis of analyzing peak characteristics. In order to improve the predicting forecasting accuracy in the steep rise section, we present a forecasting method for system operation by means of the proposed strategy and robust regression method as well as pattern recognition technique. The validity of the proposed method is shown by the simulation results to actual power system in China.
Keywords :
load forecasting; pattern recognition; regression analysis; pattern recognition; peak load curve; peak load forecasting; preservation information; steep rise information; system operation; Accuracy; Information analysis; Load forecasting; Pattern analysis; Pattern recognition; Power system analysis computing; Power system planning; Power system security; Power system simulation; Robustness; Load forecast; Operation pattern; Peak load; Preservation information; Robust regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.386272
Filename :
4276038
Link To Document :
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