Title :
Peak load forecasting based on robust regression model
Author :
Jin, Liu ; Lai, Yu Ji ; Long, Tang Xiang
Author_Institution :
Dept. of Comput. Sci. & Eng., Harbin Inst. of Technol.
Abstract :
This paper describes the essentiality and the peculiarities of peak load forecasting in power system. The approach is proposed for the daily loads prediction during the peak period, which combines the robust regression model with the pattern clustering; method. Comparing with the traditional regression model, the proposed model has strong robustness and keeps better forecasting accuracy, even on unusual weather conditions. The validity of the approach is shown by forecast results on a real power system
Keywords :
load forecasting; pattern clustering; regression analysis; daily loads prediction; forecasting accuracy; pattern clustering; power system peak load forecasting; real power system; robust regression model; solar term; Computer science; Energy consumption; Load forecasting; Pattern clustering; Power generation economics; Power system modeling; Power systems; Predictive models; Robustness; Weather forecasting;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9
