Prediction Performance of an Artificial Neural Network Model for the Amount of Cooling Energy Consumption in Hotel Rooms

Prediction Performance of an Artificial Neural Network Model for the Amount of Cooling Energy Consumption in Hotel Rooms

This study was conducted to develop an artificial neural network (ANN)-based prediction model that can calculate the amount of cooling energy during the setback period of accommodation buildings. By comparing the amount of energy needed for diverse setback temperatures, the most energy-efficient opt...

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Bibliographic Details
Main Authors: Jin Woo Moon, Sung Kwon Jung, Yong Oh Lee, Sangsun Choi
Format: Article
Language:English
Published: MDPI AG 2015-08-01
Series:Energies
Subjects:
setback temperature
cooling energy consumption
artificial neural network
predictive and adaptive controls
accommodation
Online Access:http://www.mdpi.com/1996-1073/8/8/8226

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http://www.mdpi.com/1996-1073/8/8/8226

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