Dynamic SMOTE training of neural networks used in real‐time pricing control for building air‐conditioners

Recently, smart grid Real‐Time Pricing (RTP), which changes electricity unit price for every several 10 min, has been receiving attention. The RTP control system uses a Neural Network (NN) prediction model on the response of power consumption against the power limitation commands for power saving. I...

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Veröffentlicht in:	IEEJ transactions on electrical and electronic engineering 2019-11, Vol.14 (11), p.1727-1728
Hauptverfasser:	Matsukawa, Shun, Nakayama, Takuya, Ninagawa, Chuzo, Morikawa, Junji
Format:	Artikel
Sprache:	eng
Schlagworte:	Air conditioners Electricity pricing Energy conservation Neural Networks Power consumption Smart grid Training
Online-Zugang:	Volltext
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