DocumentCode :
3228093
Title :
Application of load regularity evaluation in short-term load forecasting
Author :
Gang, MU ; Yahong, Chen ; Li, Ma
Author_Institution :
Northeast China Inst. of Electr. Power Eng., Jilin, China
Volume :
3
fYear :
2002
fDate :
28-31 Oct. 2002
Firstpage :
1797
Abstract :
Obtaining high accuracy of the load forecasting result is an uphill task to those who pursue studies on load forecasting, but there is no way to avoid prediction error. Too many insights have been concentrated on the construction of forecasting models to have noticed the regularity of the load itself. A method of evaluating load regularity is introduced to evaluate the regularity of various loads before forecasting. What can be reached is the upper limit of the prediction accuracy by thoroughly analyzing the minimum modeling error of specific load. By using the load regularity evaluation method, what will be shown is that how many regular components of the load can be mirrored, furthest, by the forecasting methods and how to directly improve forecasting methods to get better prediction results. Examples in experience show its effectiveness.
Keywords :
load forecasting; load regularity evaluation; minimum modeling error; prediction accuracy; prediction error; short-term load forecasting; uphill task; Accuracy; Equations; Error analysis; Extrapolation; Frequency; Load forecasting; Load modeling; Mirrors; Power engineering and energy; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
Type :
conf
DOI :
10.1109/TENCON.2002.1182684
Filename :
1182684
Link To Document :
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