Prediction models for dynamic demand response: Requirements, challenges, and insights

@article{Aman2015PredictionMF,
  title={Prediction models for dynamic demand response: Requirements, challenges, and insights},
  author={S. Aman and M. Fr{\^i}ncu and C. Chelmis and M. Noor and Y. Simmhan and V. Prasanna},
  journal={2015 IEEE International Conference on Smart Grid Communications (SmartGridComm)},
  year={2015},
  pages={338-343}
}
  • S. Aman, M. Frîncu, +3 authors V. Prasanna
  • Published 2015
  • Engineering, Computer Science
  • 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm)
  • As Smart Grids move closer to dynamic curtailment programs, Demand Response (DR) events will become necessary not only on fixed time intervals and weekdays predetermined by static policies, but also during changing decision periods and weekends to react to real-time demand signals. Unique challenges arise in this context vis-a-vis demand prediction and curtailment estimation and the transformation of such tasks into an automated, efficient dynamic demand response (D2R) process. While existing… CONTINUE READING
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