Journals Information
Energy and Environmental Engineering(CEASE PUBLICATION) Vol. 1(1), pp. 1 - 4
DOI: 10.13189/eee.2013.010101
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Predicting Total Conduction Losses of the Building Using Artificial Neural Network
Rajesh Kumar1,*, RK Aggarwal2, Dhirender Gupta3, Jyoti Dhar Sharma1
1 Deptt. of Physics, Shoolini University, Bajhol, Distt. Solan (HP)-173 212 India
2 Deptt. of Environmental Science, University of Horticulture & Forestry, Solan (HP)-173230 India
3 Deptt. of Physics, Govt P G College, Bilaspur (HP)-174001 India
ABSTRACT
This paper explores total conduction losses of a six storey building by using neural fitting tool (nftool) of neural network of MATLAB Version 7.11.0.584 (R2010b) with 32-bit (win 32). The calculated total conduction loss was 329184 kW per year. ANN application showed that data was best fit for the regression coefficient of 0.9955 with best validation performance of 0.41231 during summer.
KEYWORDS
Artificial Neural Network, Energy Requirement, Conduction Loss, Regression Coefficient
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Rajesh Kumar , RK Aggarwal , Dhirender Gupta , Jyoti Dhar Sharma , "Predicting Total Conduction Losses of the Building Using Artificial Neural Network," Energy and Environmental Engineering(CEASE PUBLICATION), Vol. 1, No. 1, pp. 1 - 4, 2013. DOI: 10.13189/eee.2013.010101.
(b). APA Format:
Rajesh Kumar , RK Aggarwal , Dhirender Gupta , Jyoti Dhar Sharma (2013). Predicting Total Conduction Losses of the Building Using Artificial Neural Network. Energy and Environmental Engineering(CEASE PUBLICATION), 1(1), 1 - 4. DOI: 10.13189/eee.2013.010101.