본문 바로가기
HOME> 논문 > 논문 검색상세

논문 상세정보

Journal of electrical engineering & technology v.7 no.3, 2012년, pp.281 - 287   SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Repeated Clustering to Improve the Discrimination of Typical Daily Load Profile

Kim, Young-Il    (S/W Center, KEPCO (Korea Electric Power Cooperation) Research Institute, KEPCO   ); Ko, Jong-Min    (S/W Center, KEPCO Research Institute, KEPCO   ); Song, Jae-Ju    (S/W Center, KEPCO Research Institute, KEPCO   ); Choi, Hoon    (Dept. of Computer Engineering, Chungnam National University  );
  • 초록

    The customer load profile clustering method is used to make the TDLP (Typical Daily Load Profile) to estimate the quarter hourly load profile of non-AMR (Automatic Meter Reading) customers. This study examines how the repeated clustering method improves the ability to discriminate among the TDLPs of each cluster. The k-means algorithm is a well-known clustering technology in data mining. Repeated clustering groups the cluster into sub-clusters with the k-means algorithm and chooses the sub-cluster that has the maximum average error and repeats clustering until the final cluster count is satisfied.


  • 주제어

    Repeated clustering .   K-means .   Typical load profile .   Discrimination .   Cosine similarity.  

  • 참고문헌 (13)

    1. Dong-Jun Won, Il-Yop Chung, Joong-Moon Kim, Seon-Ju Ahn, Seung-Il Moon, Jang-Cheol Seo, and Jong-Woong Choe, "Power Quality Monitoring System with a New Distributed Monitoring Structure", KIEE International Transactions on Power Engineering, vol.4-A. no.4, pp.214-220, 2004.     
    2. David Gerbec, Samo Gasperic, Ivan Smon, and Ferdinand Gubina, "Allocation of the Load Profiles to Consumers Using Probabilistic Neural Networks", IEEE Transactions on Power Systems, Vol. 20, No. 2, May 2005, pp. 548-555. 
    3. Young-Il Kim, Jong-Min Ko, and Seung-Hwan Choi, "Methods for Generating TLPs (Typical Load Profiles) for Smart Grid-Based Energy Programs", IEEE Symposium Series on Computational Intelligence 2011, vol.1, pp.49-54, 2011. 
    4. Jeong-Do Park, "Unit Commitment for an Uncertain Daily Load Profile", KIEE International Transaction on Power Engineering, vol.5-A, no.1, pp.16-21, 2005.     
    5. Jong-Young Park, Soon-Ryul Nam, and Jong-Keun Park, "Real-Time Volt/VAr Control Based on the Difference between the Measured and Forecasted Loads in Distribution Systems", Journal of Electrical Engineering and Technology, vol.2, no.2, pp.152-156, 2007.     
    6. J.A. Jardini, "Daily Load Profile for Residential, Commercial and Industrial Low Voltage Consumers", IEEE Transaction on Power Delivery, vol.15, pp.375- 380, 2000. 
    7. N.M. Pindoriya, S.N. Singh, and S.K. Singh, "Forecasting of Short-Term Electric Load Using Application of Wavelets with Feed-Forward Neural Networks", International Journal of Emerging Electric Power Systems, vol.11, no.1, pp.1-24, 2010. 
    8. SanJeev Kumar Aggarwal, Lalit Mohan Saini, and Ashwani Kumar, "Electricity Price Forecasting in Ontario Electricity Market Using Wavelet Transform in Artificial Neural Network Based Model", International Journal of Control, Automation, and Systems, vol.6, no.5, pp.639-650, October 2008.     
    9. Young-Il Kim, Jin-Ho Shin, Jae-Ju Song, and Il- Kwan Yang, "Customer Clustering and TDLP (Typical Daily Load Profile) Generation Using the Clustering Algorithm", International Conference of IEEE Transmission and Distribution Asia 2009, vol. 1, pp.1-4, 2009. 
    10. Jain A. K. and Dubes R.C., 1988. "Algorithms for Clustering Data", Englewood Cliffs, NJ: Prentice-Hall. 
    11. Van Rijsbergen, C. J., "Information Retrieval, 2nd edition", London: Buttersworth, 1979. 
    12. Lehmann, E.L., and Joseph P. Romano, "Testing Statistical Hypotheses, 3rd edition", New York: Springer, 2005. 
    13. H. Demuth and M. Beale, "Neural Network Toolbox for Use With MATLAB", Natick, MA: MathWorks, Jun. 2001. 

 활용도 분석

  • 상세보기

    amChart 영역
  • 원문보기

    amChart 영역

원문보기

무료다운로드
유료다운로드

유료 다운로드의 경우 해당 사이트의 정책에 따라 신규 회원가입, 로그인, 유료 구매 등이 필요할 수 있습니다. 해당 사이트에서 발생하는 귀하의 모든 정보활동은 NDSL의 서비스 정책과 무관합니다.

원문복사신청을 하시면, 일부 해외 인쇄학술지의 경우 외국학술지지원센터(FRIC)에서
무료 원문복사 서비스를 제공합니다.

NDSL에서는 해당 원문을 복사서비스하고 있습니다. 위의 원문복사신청 또는 장바구니 담기를 통하여 원문복사서비스 이용이 가능합니다.

이 논문과 함께 출판된 논문 + 더보기