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Time of use (TOU) rate effect using the pattern clustering method

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  • Lou, Sheldon X.C.
  • Keng, C.W.Kenneth
  • Jiang, Jiong
  • Cheng, Feng

Abstract

In this paper, we use pattern clustering and multivariate analysis of variance methods to analyze the daily load patterns in Ontario, Canada, in order to determine the impact of the time of use (TOU) rate implementation. Our findings show that in the first year after the implementation, there were no significant changes in electricity-consumption behavior of the customers selected for this study.

Suggested Citation

  • Lou, Sheldon X.C. & Keng, C.W.Kenneth & Jiang, Jiong & Cheng, Feng, 1992. "Time of use (TOU) rate effect using the pattern clustering method," Energy, Elsevier, vol. 17(11), pages 1093-1104.
    • Handle: RePEc:eee:energy:v:17:y:1992:i:11:p:1093-1104
    DOI: 10.1016/0360-5442(92)90026-V
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    Cited by:

    1. Li, Lanlan & Gong, Chengzhu & Wang, Deyun & Zhu, Kejun, 2013. "Multi-agent simulation of the time-of-use pricing policy in an urban natural gas pipeline network: A case study of Zhengzhou," Energy, Elsevier, vol. 52(C), pages 37-43.

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