2018 Volume 138 Issue 3 Pages 199-205
Fast Automated Demand Response (FastADR), which controls the power consumption of customers' loads, is one of the future smart grid technologies. In this paper, a neural network modeling of the FastADR response property for the power consumption of building air-conditioners is studied. We propose an efficient training data collection method with operation condition zoning using the FastADR-like signal modulation during normal air-conditioning operation.
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