Application of Artificial Neural Network for Predicting the Indoor Air Temperature in Modern Building in Humid Region
Alexis Kémajou, Léopold Mba, Pierre Meukam
Current Journal of Applied Science and Technology · pp. 23–34 · Published 11 Nov 2011
10.9734/BJAST/2012/641Abstract
This work was aimed to apply the artificial neural network (ANNs) for predicting indoor air temperature in modern building, seven hours in advance in humid region, using as inputs only the outdoor air temperature and the last six hourly values of indoor air temperature. The building experiment is built with cement hallow block in the town of Douala in Cameroon, and the experimentation was carried out for six months. Experimental data were used to determine the optimal ANN structure with Levenberg-Marquardt algorithm by using Matlab software. The optimal structure was the multilayer perceptron (MLP) with seven input variables, thirty hidden neurons and one neuron in the output layer. The activation functions were respectively the hyperbolic tangent in the hidden layer and the linear function in the output layer. Moreover, the indoor air temperature results simulated by using the developed ANN model were strongly correlated with the experimental data. These results testified that ANN can be valuable tool for hourly indoor air temperature prediction in particular and others indoor air parameters of building, such as relative humidity, cooling loads.
Cited by 7
Nivine Attoue, Isam Shahrour, Rafic Younes · Energies · 2018
Cheng-Chun Lin, Liangzhu (Leon) Wang · Building and Environment · 2013
Vieira-Gutemberg Jákina Guimarães · Advances in Ophthalmology & Visual System · 2016
Meriem Messis, Nasr Eddine Bouhamou, Abdelatif Benaisa · Advanced Materials Research · 2023
Leopold Mba, Pierre Meukam, Alexis Kemajou · Energy and Buildings · 2016
Özgür Çelik, Ahmet Teke, H. Başak Yıldırım · Journal of Cleaner Production · 2016
Diana Enescu · Renewable and Sustainable Energy Reviews · 2017
Related research
- A Clinical Decision Support System to Identify and Stage Breast Cancer Tumor — shares topic coverage
- Neural Network and Regression Based Model for Cows’ Milk Yield Prediction in Different Climatic Gradients — shares topic coverage
- Modeling of Two-Phase Gas Deviation Factor for Gas-Condensate Reservoir using Artificial Neural Network — shares topic coverage
- Comparative Performance of Multiple Linear Regression and Artificial Neural Network Based Models in Estimation of Evaporation — shares topic coverage
- Prediction of Oilfield Scale formation Using Artificial Neural Network (ANN) — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
7
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.