@inproceedings{34835,
  author = {Na Luo and Jared Langevin and Handi Chandra Putra},
  title = {Quantifying the effect of multiple demand response actions on electricity demand and building services via surrogate modeling},
  abstract = {<p>The expansion of commercial building demand response (DR) as a demand-side management resource for the electric grid necessitates new decision support resource for customers to rapidly assess the benefit-risk tradeoffs of candidate load exibility strategies. This work develops surrogate models of load exibility impacts on office building electricity demand and indoor temperature. The surrogate models are fit to a large synthetic database generated via whole building simulations of multiple exibility strategies under a variety of conditions; the models are translated to a Bayesian framework to allow straightforward communication of uncertainty and parameter updating given new evidence. The strong predictive performance of the models underscores their potential utility in guiding DR decision-making in office settings.</p>},
  year = {2021},
  journal = {IBPSA Building Simulation Conference 2021},
  month = {09/2021},
  address = {Bruges, Belgium},
  language = {eng},
}