Energy Modeling with Nonlinear-Autoregressive Exogenous Neural Network

Energy Modeling with Nonlinear-Autoregressive Exogenous Neural Network

The model-based predictive control (MPC) is considered to be an effective tool for optimal control of building heating, ventilation, and air-conditioning (HVAC) systems. MPC need to update the operating set points of the local control loops that have a significant influence on the energy performance...

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Bibliographic Details
Main Authors:	Syed Asad Hussain, Richard Kwok Kit Yuen, Eric Wai Ming Lee
Format:	Article
Language:	English
Published:	EDP Sciences 2019-01-01
Series:	E3S Web of Conferences
Subjects:	model-based predictive control heating ventilation and air-conditioning neural network nonlinear-autoregressive model with exogenous input
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_03059.pdf

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