Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series

@article{Espinoza2005ShorttermLF,
  title={Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series},
  author={Max Espinoza and C. Joye and R. Belmans and B.L.R. De Moor},
  journal={IEEE Transactions on Power Systems},
  year={2005},
  volume={20},
  pages={1622-1630}
}
Results from a project in cooperation with the Belgian National Grid Operator ELIA are presented in this paper. Starting from a set of 245 time series, each one corresponding to four years of measurements from a HV-LV substation, individual modeling using Periodic Time Series yields satisfactory results for short-term forecasting or simulation purposes. In… CONTINUE READING

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