Power system yearly peak load forecasting: a grey system modeling approach

Hong Tzer Yang, Tian Chyi Liang, Kuang Rong Shih, Ching Lien Huang

Research output: Contribution to conferencePaper

15 Citations (Scopus)

Abstract

Applications of grey system modeling techniques to predict power system yearly peak loads and their occurring dates are described in this paper. For yearly peak load forecasting, a new hybrid grey model of GM(1,1) in conjunction with GM(1,2) is proposed. Corresponding dates on which the peak loads occur are predicted by using the topological forecasting method. Complying with the characteristics of minimal historical yearly peak load records (only one peak load value for a year), the grey system techniques used in this paper just feature that a small amount of historical data (3 to 7 points of data) are required to set up a high forecasting-accuracy model. Effectiveness of the developed models has been demonstrated through predicting the actual Taiwan Power (Taipower) yearly peak loads and the occurring dates.

Original languageEnglish
Pages261-266
Number of pages6
Publication statusPublished - 1995 Dec 1
EventProceedings of the 1995 International Conference on Energy Management and Power Delivery, EMPD'95. Part 1 (of 2) - Singapore, Singapore
Duration: 1995 Nov 211995 Nov 23

Other

OtherProceedings of the 1995 International Conference on Energy Management and Power Delivery, EMPD'95. Part 1 (of 2)
CitySingapore, Singapore
Period95-11-2195-11-23

All Science Journal Classification (ASJC) codes

  • Energy(all)
  • Engineering(all)

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  • Cite this

    Yang, H. T., Liang, T. C., Shih, K. R., & Huang, C. L. (1995). Power system yearly peak load forecasting: a grey system modeling approach. 261-266. Paper presented at Proceedings of the 1995 International Conference on Energy Management and Power Delivery, EMPD'95. Part 1 (of 2), Singapore, Singapore, .