제어로봇시스템학회논문지 (Journal of Institute of Control, Robotics and Systems)

  • 제15권10호
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  • Pages.1056-1061
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  • 2009
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  • 1976-5622(pISSN)
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  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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데이터 마이닝과 칼만필터링에 기반한 단기 물 수요예측 알고리즘

Short-term Water Demand Forecasting Algorithm Based on Kalman Filtering with Data Mining

  • 발행 : 2009.10.01
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초록

This paper proposes a short-term water demand forecasting algorithm based on kalman filtering with data mining for sustainable water supply and effective energy saving. The proposed algorithm utilizes a mining method of water supply data and a decision tree method with special days like Chuseok. And the parameters of MLAR (Multi Linear Auto Regression) model are estimated by Kalman filtering algorithm. Thus, we can achieve the practicality of the proposed forecasting algorithm through the good results applied to actual operation data.

키워드

참고문헌

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피인용 문헌

  1. Abnormal data refinement and error percentage correction methods for effective short-term hourly water demand forecasting vol.12, pp.6, 2014, https://doi.org/10.1007/s12555-014-0001-z