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Fuzzy approaches improve predictions of energy performance of buildings

Author
Nebot, M.; Mugica, F.
Type of activity
Presentation of work at congresses
Name of edition
SIMULTECH 2013- 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Date of publication
2013
Presentation's date
2013-07-31
Book of congress proceedings
Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications
First page
504
Last page
511
Abstract
The energy consumption in Europe is, to a considerable extent, due to heating and cooling used for domestic purposes. This energy is produced mostly by burning fossil fuels with a high negative environmental impact. The characteristics of a building are an important factor to determine the necessities of heating and cooling loads. Therefore, the study of the relevant characteristics of the buildings with respect to the heating and cooling needed to maintain comfortable indoor air conditions, cou...
Keywords
Adaptive neuro-fuzzy inference system (ANFIS), Energy performance, Fuzzy inductive reasoning (FIR), Heating and cooling load
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing

Participants