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DKUM
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Title:
PRIMERJAVA MODULOV ZA REGULACIJO PORABE ENERGIJE V GOSPODINJSTVU
Authors:
ID
Kalan, Peter
(
Author
)
ID
Kljajić Borštnar, Mirjana
(
Mentor
)
More about this mentor...
Files:
VS_Kalan_Peter_2016.pdf
(1,70 MB)
MD5: DAD04A1D44DE8FC12462B216698D8485
Language:
Slovenian
Work type:
Bachelor thesis/paper
Organization:
FOV - Faculty of Organizational Sciences in Kranj
Abstract:
V diplomski nalogi obravnavamo problem izbire najprimernejšega modula za regulacijo porabe energije v gospodinjstvu. Gre za kompleksen odločitveni problem, ki od laičnega bodočega uporabnika regulatorja zahteva veliko strokovnega znanja. V ta namen smo z orodjem DEXi zgradili večparametrski odločitveni model. V teoretičnem delu smo predstavili metodologijo izgradnje takšnega modela ter teoretične osnove regulacije porabe energije. V empiričnem delu smo s pomočjo dognanj iz teorije ter ekspertnega znanja identificirali kriterije ter jih oblikovali v drevo kriterijev, tako kot to narekuje metodologija DEXi. Sledilo je definiranje odločitvenih pravil ter predstavitev alternativ, med katerimi smo izbirali. V zadnjem delu sledi kritična ocena alternativ ter sprejem odločitve.
Keywords:
večparametrski odločitveni model
,
regulacija
,
orodje DEXi
Place of publishing:
Maribor
Year of publishing:
2016
PID:
20.500.12556/DKUM-59487
COBISS.SI-ID:
7638547
NUK URN:
URN:SI:UM:DK:UG1FT3YI
Publication date in DKUM:
04.07.2016
Views:
1258
Downloads:
100
Metadata:
Categories:
FOV
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Secondary language
Language:
English
Title:
COMPARISON OF MODULES FOR REGULATION OF ENERGY CONSUMPTION IN HOUSEHOLD
Abstract:
The thesis deals with the problem of choosing the most appropriate module for controlling energy consumption in the household. It is a complex decision-making problem which requires a lot of expertise from a future user. For this purpose we have built multi-parameter decision model using a special tool - DEXi. The theoretical part presents the methodology of building such a model and theoretical bases of regulation of energy consumption. In the empirical part we are using the knowledge we gained from the theory and the expert knowledge to identify criteria and to form a criteria tree, as dictated by the methodology DEXi. This was followed by defining decision rules and presentation of alternatives, among which we have selected. In the last part we have critically assessed the alternatives and made the decision.
Keywords:
multi-parameter decision model
,
regulation
,
tool DEXi
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