Peak load forecasting based on robust regression model

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

[1]  Liu Shun-gui.  EXTENDED SHORT-TERM LOAD FORECASTING PRINCIPLE AND METHOD , 2003 .

[2]  N. Nikolic,et al.  Weather sensitive method for short term load forecasting in Electric Power Utility of Serbia , 2003 .

[3]  Johanna Smeyers-Verbeke,et al.  Robust regression and outlier detection in the evaluation of robustness tests with different experimental designs , 2002 .

[4]  R. Ramanathan,et al.  Short-run forecasts of electricity loads and peaks , 1997 .

[5]  Sang-Yun Yun,et al.  Peak load estimation of pole-transformer using load regression equation and assumption of cooling load for customer , 2002 .

[6]  Kidong Lee,et al.  Robust regression-based analysis of drug-nucleic acid binding. , 2003, Analytical biochemistry.

[7]  Tang Xiang-long.  RESEARCH ON PEAK LOAD FORECASTING BASED ON THE STRATEGY FOR PRESERVING STEEP RISE INFORMATION OF FRONT POSITION , 2004 .

[8]  Rey-Chue Hwang,et al.  A new artificial intelligent peak power load forecaster based on non-fixed neural networks , 2002 .

[9]  Anthony C. Atkinson,et al.  On robust linear regression with incomplete data , 2000 .

[10]  Peter Rousseeuw,et al.  Econometric Applications of High-Breakdown Robust Regression Techniques , 2017, 1709.00181.

[11]  Saifur Rahman,et al.  Peak load forecasting using a fuzzy neural network , 1995 .

[12]  S. A. Soliman,et al.  Short-term electric load forecasting based on Kalman filtering algorithm with moving window weather and load model , 2004 .

[13]  Yu-Long Xie,et al.  Robust regression used for the treatment of partial non-linearity in multivariate calibration , 1995 .

[14]  J. Hoffer,et al.  On the models of peak load forecast uncertainty in probabilistic production costing algorithms , 1996 .