A neuro–fuzzy model for prediction of the indoor temperature in typical Australian residential buildings-Reference-Cited by-同舟云学术

A neuro–fuzzy model for prediction of the indoor temperature in typical Australian residential buildings

Published:2009-07 Issue:7 Volume:41 Page:703-710
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Alasha’ary Haitham,Moghtaderi Behdad,Page Adrian,Sugo Heber

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference10 articles.

1. Building simulation: an overview of developments and information sources;Hong;Building and Environment,2000

2. Australian Greenhouse Office (AGO), (2004). Australian Residential Building Sector, Greenhouse Gas Emissions 1990-2010. Executive Summary Report 2004, Australian Greenhouse Office, Canberra.

3. A comparative study of the thermal performance of cavity and brick veneer construction.;Sugo,2004

4. The ratings game;McLaren;Environment Magazine Winter,2004

5. Thermal performance studies at the University of Newcastle.;Sugo,2007

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed LSTM-GCN-Based Spatial–Temporal Indoor Temperature Prediction in Multizone Buildings;IEEE Transactions on Industrial Informatics;2024-01

2. Estimating residential buildings’ energy usage utilising a combination of Teaching–Learning–Based Optimization (TLBO) method with conventional prediction techniques;Engineering Applications of Computational Fluid Mechanics;2023-10-31

3. Short-term forecasting model for residential indoor temperature in DHS based on sequence generative adversarial network;Applied Energy;2023-10

4. Development of novel PMV-based HVAC control strategies using a mean radiant temperature prediction model by machine learning in Kuwaiti climate;Building and Environment;2021-12

5. A Distributed Fusion LSTM Model to Forecast Temperature and Relative Humidity in Smart Buildings;2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA);2021-08-01