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Data Mining in Load Forecasting of Power System

  • Guang Yu Zhao
  • Yan Yan
  • Chun Zhou Zhao
  • Chao Wang
  • Hao Zhang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 220)

Abstract

This project applies Data Mining technology to the prediction of electric power system load forecast. It proposes a mining program of electric power load forecasting data based on the similarity of time series research, effectively overcoming the negative effects on the prediction results caused by the limited and incomplete data. It also illustrates a list of examples to prove that the conducted method is effective and efficient.

Keywords

Load forecasting Data mining Time series 

Notes

Acknowledgments

This paper is based on the students science and technology innovation of Qing gong college, Hebei United University “The research of load forecasting of power system”.

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • Guang Yu Zhao
    • 1
  • Yan Yan
    • 2
  • Chun Zhou Zhao
    • 1
  • Chao Wang
    • 1
  • Hao Zhang
    • 1
  1. 1.Qing gong CollegeHebei United UniversityTangshanChina
  2. 2.College of SciencesHebei United UniversityTangshanChina

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