Pregled bibliografske jedinice broj: 722904
CHARACTERISTICS OF BASIN INFLOWS A STATISTICAL ANALYSIS FOR LONG-TERM/MID-TERM HYDROTHERMAL SCHEDULING
CHARACTERISTICS OF BASIN INFLOWS A STATISTICAL ANALYSIS FOR LONG-TERM/MID-TERM HYDROTHERMAL SCHEDULING // Thermal science, 18 (2014), 3; 799-809 doi:10.2298/TSCI1403799S (međunarodna recenzija, članak, znanstveni)
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Naslov
CHARACTERISTICS OF BASIN INFLOWS A STATISTICAL ANALYSIS FOR LONG-TERM/MID-TERM HYDROTHERMAL SCHEDULING
Autori
Sutlović, Elis ; Čujić Ćoko, Snježana ; Medić, Ivan
Izvornik
Thermal science (0354-9836) 18
(2014), 3;
799-809
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
power system planning; inflow models; statistical analysis; long-term/mid-term hydrothermal scheduling
Sažetak
The presented paper focuses on the characteristics of reservoir inflows and the appropriate inflow model for long-term/mid-term hydrothermal scheduling. The goal was to find the type of distribution that best fits the observed series of monthly and weekly average inflows in most cases for a model which considers the inflows as independent random variables without time correlation. Also, the objective was to explore the correlation between the inflows during time periods (for weekly and monthly intervals, respectively), and to investigate whether the more complex model of reservoir inflow as a dependent random variable is advisable for optimal long-term/mid-term hydrothermal scheduling. Differences in the characteristics of monthly and weekly inflows, which have been noticed during the analysis, are discussed. Numerical results are presented.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus