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Title:
Napovedovanje porabe električne energije v podjetju Talum d.d. : diplomsko delo
Authors:
ID
Pintarič, Jan
(Author)
ID
Beković, Miloš
(Mentor)
More about this mentor...
ID
Pintarič, Matej
(Comentor)
Files:
VS_Pintaric_Jan_2021.pdf
(1,88 MB)
MD5: 81FDD840A39412F4B08CF4CE26062D3E
PID:
20.500.12556/dkum/9bbaf5a8-e7c8-45ff-9553-c893928f4ef5
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V tej diplomski nalogi je izvedena urna napoved porabe električne energije v podjetju Talum. Za izračun napovedi je uporabljena metoda SARIMA. Napoved je izvedena v programskem okolju Excel zaradi lažje uporabe v podjetju. Za izračun napovedi smo pridobili urne podatke o porabi električne energije za eno leto nazaj, jih analizirali in ustrezno opredelili. Izračunano napoved smo primerjali s trenutno napovedjo in realizacijo. Rezultati napovedi so prikazani v 6. poglavju.
Keywords:
aktivni odjemalec
,
sistemske storitve
,
SARIMA metoda
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[J. Pintarič]
Year of publishing:
2021
Number of pages:
IX, 71 f.
PID:
20.500.12556/DKUM-80660
UDC:
519.21:621.311(043.2)
COBISS.SI-ID:
90093059
Publication date in DKUM:
18.10.2021
Views:
1138
Downloads:
114
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
27.09.2021
Secondary language
Language:
English
Title:
Forecasting of electric energy consumption in corporation Talum d. d.
Abstract:
In this diploma thesis, an hourly forecast of electric energy consumption in the company Talum is made. The forecast was being calculated by the SARIMA method. For ease of use in the company, the forecast is made in the Excel software environment. To calculate the forecast, we obtained hourly data on electric energy consumption for one year ago, analyzed them and defined them accordingly. We compared the calculated forecast with the current forecast and realization. The results of the forecast are shown in Chapter 6.
Keywords:
active consumers
,
electric power system
,
SARIMA model
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