Averaging effect on stochastic response prediction in FastADR aggregation for building air-conditioning facilities

This letter reports on the averaging effect on prediction errors of the fast automated demand response (FastADR) power limitation amount calculated by our autoregressive and neural net models for a large number of multi-type building air-conditioning facilities. The standard deviation of prediction error variation decreases with the number of FastADR trials according to the N rule. This result will be useful for estimating the averaging effect in the prediction of FastADR for a large number of target facilities. (c) 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.