Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Fuzzy approaches improve predictions of energy performance of buildings

Autor
Nebot, M.; Mugica, F.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
SIMULTECH 2013- 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Any de l'edició
2013
Data de presentació
2013-07-31
Llibre d'actes
Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Pàgina inicial
504
Pàgina final
511
Resum
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...
Paraules clau
Adaptive neuro-fuzzy inference system (ANFIS), Energy performance, Fuzzy inductive reasoning (FIR), Heating and cooling load
Grup de recerca
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing

Participants