Modelling the Effect of the Domestic Occupancy Profiles on Predicted Energy Demand of the Energy Efficient House
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics
Reference36 articles.
1. Kim, H., Stumpf, A., Kim, W., 2011. Analysis of an energy efficient building design through data mining approach, Automation in Construction 20, pp. 37-43. http://dx.doi.org/10.1016/j.autcon.2010.07.006.
2. Bleil de Souza, C. 2012. Contrasting paradigms of design thinking: The building thermal simulation tool user vs. the building designer, Automation in Construction 22, pp. 112-122. http://dx.doi.org/10.1016/j.autcon.2011.09.008.
3. Bleil de Souza, C., 2013. Studies into the use of building thermal physics to inform design decision making, Automation in Construction 30, p. 81-93. doi:10.1016/j.autcon.2012.11.026.
4. Menezes, A.C., Cripps, A., Bouchlaghem, D., Buswell, R., 2012. Predicted vs. actual energy performance of non-domestic buildings: Using post- occupancy evaluation data to reduce the performance gap, Applied Energy 97, pp. 355-364. http://dx.doi.org/10.1016/j.apenergy.2011.11.075.
5. Bordass, B., Cohen, R., Standeven, M., Leaman, A. 2001. Assessing building performance in use 3: energy performance of the Probe buildings, Building Research & Information 29, pp. 114-128. http://dx.doi.org/10.1080/09613210010008036.
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