Pattern similarity-based methods for short-term load forecasting - Part 2: Models

  title={Pattern similarity-based methods for short-term load forecasting - Part 2: Models},
  author={Grzegorz Dudek},
  journal={Appl. Soft Comput.},
Models for the short-term load forecasting based on the similarity of patterns of seasonal cycles are presented. They include: kernel estimation-based model, nearest neighbor estimation-based models and pattern clustering-based models such as classical clustering methods and new artificial immune systems. The problem of construction of the pattern similaritybased forecasting models and the elements and procedures of the model space are characterized. Details of the model learning and… CONTINUE READING
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Wu,”Generalized Locally Weighted GMDH for Short Term Load Forecasting,

  • E. E. Elattar, J. Goulermas. Q.H
  • IEEE Trans. Systems, Man, and Cybernetics, Part C…
  • 2012
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