DocumentCode
2283412
Title
Municipalities´ energy efficiency estimation approach based on fuzzy models
Author
Axyonov, Sergey V. ; Silich, Maria P. ; Skrybin, Vyacheslav I. ; Akhmedov, Vadim S.
Author_Institution
Institute of Cybernetics, National Research Tomsk Polytechnic University, Tomsk, Russia
fYear
2012
fDate
18-21 Sept. 2012
Firstpage
1
Lastpage
4
Abstract
The article presents an approach that compares different municipalities by their energy efficiency level. We propose a clustering of the municipalities by neuro-fuzzy methods to estimate how social, economic and climatic features affect the energy use. The energy use indicators analysis allows to create a set of membership functions in each cluster to get fuzzy measures of energy efficiency.
Keywords
energy conservation; energy consumption; fuzzy neural nets; fuzzy set theory; pattern clustering; town and country planning; climatic features; energy use indicators analysis; fuzzy models; municipalities clustering; municipalities energy efficiency estimation; neuro-fuzzy methods; Algorithm design and analysis; Clustering algorithms; Economics; Energy consumption; Energy efficiency; Estimation; Heating; climatic factors anaysis; energy efficiency; fuzzy clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Strategic Technology (IFOST), 2012 7th International Forum on
Conference_Location
Tomsk
Print_ISBN
978-1-4673-1772-6
Type
conf
DOI
10.1109/IFOST.2012.6357634
Filename
6357634
Link To Document