Optimal Personal Comfort Management Using SPOT+

@inproceedings{Gao2013OptimalPC,
  title={Optimal Personal Comfort Management Using SPOT+},
  author={Peter Xiang Gao and Srinivasan Keshav},
  booktitle={BuildSys@SenSys},
  year={2013}
}
We present SPOT+, a system that allows office workers to optimally balance between heating energy consumption and personal thermal comfort. In prior work, we described SPOT: a smart personal thermal control system based on reactive control [8]. In contrast, the SPOT+ system performs predictive control. Specifically, SPOT+ uses the k-nearest-neighbour algorithm to predict room occupancy and learning-based model predictive control (LBMPC) to predict future room temperature and to compute the… CONTINUE READING

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Key Quantitative Results

  • We .nd that SPOT+ reduces energy usage by 60% compared to a .xed-temperature setpoint and re­duces personal thermal discomfort from 0.36 to 0.02 (in the ASHRAE comfort scale) compared to SPOT.

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