Modulation training method of prediction model for smart grid FastADR power limitation of building air-conditioners

作者：Ninagawa Chuzo^*; Nakamura Atsushi; Morikawa Junji

来源：IEEJ Transactions on Electrical and Electronic Engineering, 2018, 13(2): 343-344.

DOI：10.1002/tee.22533

• real-time pricing
• demand response
• building air-conditioner

Fast automated demand response (FastADR) of building air-conditioners is a future smart grid demand-side technology. Neural network models will be useful to predict the power limitation result of the FastADR. However, neural networks require training data, which are collected by the experimental air-conditioning operations. In this letter, we propose a new training data collection method in which the FastADR-like signal is modulated into the normal air-conditioning operations.

• 出版日期2018-2