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Title:NAPOVED OBREMENITEV V ELEKTROENERGETSKIH SISTEMIH
Authors:ID Pezdiček, Borut (Author)
ID Voršič, Josip (Mentor) More about this mentor... New window
Files:.pdf UNI_Pezdicek_Borut_2010.pdf (2,72 MB)
MD5: 541962181FA1936D5A1090D40FB8038F
PID: 20.500.12556/dkum/96ed3238-c02b-457a-a1ba-bb44957e9be1
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V prvem delu diplomske naloge so opisane teoretične osnove časovnih vrst, ki so potrebne za lažje razumevanje in razlago o pripravi napovedi obremenitev v elektroenergetskih sistemih. Opisani so tudi vsi ključni pojmi in komponente, ki jih srečujemo na področju statistike in napovedi, posebno poglavje pa je posvečeno tudi celotnemu poteku analize in izdelavi matematičnega modela ARIMA. V drugem delu, ki obsega eksperimentalno delo, katero je razširjeno tudi v prilogo, so opisani postopki, ugotovitve in razlage narejenih napovedi, ki slonijo na realnih podatkih posameznih vozlišč. Predstavljen je tudi potek dela in uporabljena programska orodja, ki so ključnega pomena pri izdelavi napovedi obremenitev.
Keywords:elektroenergetski sistemi, napovedi, ARIMA, časovne vrste, obremenitve, električna energija
Place of publishing:Maribor
Publisher:[B. Pezdiček]
Year of publishing:2010
PID:20.500.12556/DKUM-15067 New window
UDC:621.311(043.2)
COBISS.SI-ID:14589206 New window
NUK URN:URN:SI:UM:DK:XZLMXXMY
Publication date in DKUM:23.08.2010
Views:2235
Downloads:316
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:LOAD FORECAST IN POWER SYSTEMS
Abstract:In the first part of the diploma work there are theoretical descriptions of the time series which are necessary for better understanding and interpretation of load forecasts in the power systems. All the key concepts and components from the field of statistics and forecasts are described. In addition, a special chapter is dedicated to mathematical analysis and the development of ARIMA models. In the second part, which includes experimental work, there are descriptions of procedures, findings and interpretations of the predictions which are based on real data of individual nodes. Software tools and work procedures that are crucial for load forecast are also presented.
Keywords:power systems, forecasts, ARIMA, time series, loads, electricity


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