FILTERING OUT THE TRAINING DATA OF ANN AND EVALUATION OF ITS EFFECT ON ERROR REDUCTION IN SHORT-TERM LOAD FORECASTING IN POWER SYSTEMS

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MOSHARI A.; EBRAHIMI A.; SADRI S.; EBRAHIMI M.

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Journal: JOURNAL OF COMPUTATIONAL METHODS IN ENGINEERING (ESTEGHLAL) Year:2009 | Volume:28 | Issue:2 Page(s): 67-79

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Title

FILTERING OUT THE TRAINING DATA OF ANN AND EVALUATION OF ITS EFFECT ON ERROR REDUCTION IN SHORT-TERM LOAD FORECASTING IN POWER SYSTEMS

Author(s)

MOSHARI A. | EBRAHIMI A. | SADRI S. | EBRAHIMI M. | Issue Writer Certificate

Keywords

SHORT-TERM LOAD FORECASTINGQ3

ARTIFICIAL NEURAL NETWORKSQ3

DATA FILTERINGQ3

PRINCIPLE COMPONENT ANALYSISQ3

Abstract

Occurrence of special events such as overloads, load shedding, interruptions and faults, and shortcomings of operators in an error free manual recording of data are the main sources of anomalous load profiles imposing errors in Artificial Neural Network based SHORT-TERM LOAD FORECASTING (ANNSTLF) systems. In this paper, an ANNSTLF system is properly designed for the real power system of Isfahan Province and used to compare the impacts of filtering out the anomalous data by expert experience, statistical analysis, and a new algorithm based on the Principal Component Analysis (PCA). The results show that filtering out anomalous load-profiles before ANNSTLF can reduce the forecasting error efficiently. It is also shown that the proposed PCA filtering method is simpler in application and faster in response, yielding accurate forecasting results.

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APA: Copy

MOSHARI, A., EBRAHIMI, A., SADRI, S., & EBRAHIMI, M.. (2009). FILTERING OUT THE TRAINING DATA OF ANN AND EVALUATION OF ITS EFFECT ON ERROR REDUCTION IN SHORT-TERM LOAD FORECASTING IN POWER SYSTEMS. JOURNAL OF COMPUTATIONAL METHODS IN ENGINEERING (ESTEGHLAL), 28(2), 67-79. SID. https://sid.ir/paper/173682/en

Vancouver: Copy

MOSHARI A., EBRAHIMI A., SADRI S., EBRAHIMI M.. FILTERING OUT THE TRAINING DATA OF ANN AND EVALUATION OF ITS EFFECT ON ERROR REDUCTION IN SHORT-TERM LOAD FORECASTING IN POWER SYSTEMS. JOURNAL OF COMPUTATIONAL METHODS IN ENGINEERING (ESTEGHLAL)[Internet]. 2009;28(2):67-79. Available from: https://sid.ir/paper/173682/en

IEEE: Copy

A. MOSHARI, A. EBRAHIMI, S. SADRI, and M. EBRAHIMI, “FILTERING OUT THE TRAINING DATA OF ANN AND EVALUATION OF ITS EFFECT ON ERROR REDUCTION IN SHORT-TERM LOAD FORECASTING IN POWER SYSTEMS,” JOURNAL OF COMPUTATIONAL METHODS IN ENGINEERING (ESTEGHLAL), vol. 28, no. 2, pp. 67–79, 2009, [Online]. Available: https://sid.ir/paper/173682/en

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