Universiti Teknologi Malaysia Institutional Repository

Power consumption modeling for indoor environment using artificial neural network

Rahman, A. F. A. and Selamat, Hazlina and Sham Ismail, Fatimah (2012) Power consumption modeling for indoor environment using artificial neural network. In: 3rd International Conference on Mechanical and Manufacturing Engineering, ICME 2012, 20-21 November, 2012, Batu Pahat, Johor, Malaysia.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.4028/www.scientific.net/AMM.3...

Abstract

In this paper, a new Artificial Neural Network (ANN) model that relates human comfort and electrical power consumption of a building with temperature, illumination and carbon dioxide (CO2) level inside the building is developed. The model has been developed using samples of simulated data representing the indoor environment variables. Results have shown that neural network with 14 hidden layer neurons produces outputs that is closest to the actual system outputs. © (2013) Trans Tech Publications, Switzerland.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:human comfort , artificial neural network
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:37846
Deposited By: Fazli Masari
Deposited On:30 Apr 2014 07:58
Last Modified:23 Oct 2017 04:32

Repository Staff Only: item control page