The Transactions of the Korean Institute of Electrical Engineers P (전기학회논문지P)

The Korean Institute of Electrical Engineers (대한전기학회)
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Development of Daily Peak Power Demand Forecasting Algorithm with Hybrid Type composed of AR and Neuro-Fuzzy Model

자기회귀모델과 뉴로-퍼지모델로 구성된 하이브리드형태의 일별 최대 전력 수요예측 알고리즘 개발

  • 박용산 (한국교통대학교 대학원 전기공학과) ;
  • 지평식 (한국교통대 전기공학과)
  • Received : 2014.07.28
  • Accepted : 2014.08.22
  • Published : 2014.09.01
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Abstract

Due to the increasing of power consumption, it is difficult to construct accurate prediction model for daily peak power demand. It is very important work to know power demand in next day for manager and control power system. In this research, we develop a daily peak power demand prediction method based on hybrid type composed of AR and Neuro-Fuzzy model. Using data sets between 2006 and 2010 in Korea, the proposed method has been intensively tested. As the prediction results, we confirm that the proposed method makes it possible to effective estimate daily peak power demand than conventional methods.

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References

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