Disaggregated electricity forecasting using wavelet-based clustering of individual consumers

@article{Cugliari2016DisaggregatedEF,
  title={Disaggregated electricity forecasting using wavelet-based clustering of individual consumers},
  author={Jairo Cugliari and Yannig Goude and Jean-Michel Poggi},
  journal={2016 IEEE International Energy Conference (ENERGYCON)},
  year={2016},
  pages={1-6}
}
Electricity load forecasting is crucial for utilities for production planning as well as marketing offers. Recently, the increasing deployment of smart grids infrastructure requires the development of more flexible data driven forecasting methods adapting quite automatically to new data sets. We propose to build clustering tools useful for forecasting the load consumption. The idea is to disaggregate the global signal in such a way that the sum of disaggregated forecasts significantly improves… CONTINUE READING