Corpus ID: 14800323

Empirical Comparison of Prediction Methods for Electricity Consumption Forecasting

@inproceedings{Aman2014EmpiricalCO,
  title={Empirical Comparison of Prediction Methods for Electricity Consumption Forecasting},
  author={S. Aman and M. Fr{\^i}ncu and C. Chelmis and M. Noor and Y. Simmhan and V. Prasanna},
  year={2014}
}
  • S. Aman, M. Frîncu, +3 authors V. Prasanna
  • Published 2014
  • Recent years have seen an increasing interest in providing accurate prediction models for electrical energy consumption. In Smart Grids, energy consumption optimization is critical to enhance power grid reliability, and avoid supply-demand mismatches. Utilities rely on real-time power consumption data from individual customers in their service area to forecast the future demand and initiate energy curtailment programs. Currently however, little is known about the differences in consumption… CONTINUE READING
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