MATEC Web Conf.
Volume 282, 20194th Central European Symposium on Building Physics (CESBP 2019)
|Number of page(s)||6|
|Published online||06 September 2019|
Application of ANN for analysing a neighbourhood of single-family houses constituting an Energy Cluster
Lodz University of Technology, Faculty of Civil Engineering, Architecture and Environmental Engineering, Lodz, Poland
* Corresponding author: email@example.com
In this article a simple computer tool that can predict energy demand of residential buildings area in Poland by means of artificial neural network is developed and its application is demonstrated. Authors focused on energy demand analyses for single-family houses, representative for the Polish household sector. Advanced computer simulations were performed by means of the Energy Plus software, with hourly calculation step. Then, the obtained results and simulation parameters were used as input data for artificial neural network analysis. As a result, authors developed a simple, user friendly computer tool that can predict, with relatively good accuracy in comparison to the Energy Plus results, energy demand for residential buildings located in Poland. The software might be used for local (a single building) or regional (whole areas, neighbourhoods) analyses of single-family houses in Polish household sector. Additionally, for the analysed area, Renewable Energy potential can be checked – the developed software allows for analyses of solar energy application in the building/neighbour-hood design. Some examples of the energy analyses performed by means of the developed software have been presented.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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