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Energy performance forecasting of residential buildings using fuzzy approaches

Author
Nebot, A.; Mugica, F.
Type of activity
Journal article
Journal
Applied sciences
Date of publication
2020-01-20
Volume
10
Number
2, article 720
First page
1
Last page
16
DOI
10.3390/app10020720
Repository
http://hdl.handle.net/2117/176932 Open in new window
URL
https://www.mdpi.com/2076-3417/10/2/720 Open in new window
Abstract
The energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has 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, regarding the heating and cooling needed to maintain comfortable indoor air conditions, co...
Citation
Nebot, A.; Múgica, F. Energy performance forecasting of residential buildings using fuzzy approaches. "Applied sciences", 20 Gener 2020, vol. 10, núm. 2, article 720, p. 1-16.
Keywords
ANFIS, Adaptive neuro-fuzzy inference system, Energy performance, FIR, Fuzzy inductive reasoning, Heating and cooling load
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing

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