Determining Adaptability Performance of Artificial Neural Network-Based Thermal Control Logics for Envelope Conditions in Residential Buildings

Determining Adaptability Performance of Artificial Neural Network-Based Thermal Control Logics for Envelope Conditions in Residential Buildings

This study examines the performance and adaptability of Artificial Neural Network (ANN)-based thermal control strategies for diverse thermal properties of building envelope conditions applied to residential buildings. The thermal performance using two non-ANN-based control logics and two predictive...

Full description

Bibliographic Details
Main Authors: Sooyoung Kim, Jae D. Chang, Jin Woo Moon
Format: Article
Language:English
Published: MDPI AG 2013-07-01
Series:Energies
Subjects:
artificial neural network
thermal control logic
thermal performance
envelope insulation
ratio of window to wall
thermal condition
Online Access:http://www.mdpi.com/1996-1073/6/7/3548

Internet

http://www.mdpi.com/1996-1073/6/7/3548

Similar Items