Pregled bibliografske jedinice broj: 500862
Applications of Clustering Algorithms in Long-term Load Forecasting
Applications of Clustering Algorithms in Long-term Load Forecasting // Proceedings of 1st IEEE Energycon Conference
Manama, 2010. str. 688-693 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 500862 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Applications of Clustering Algorithms in Long-term Load Forecasting
Autori
Carević, Sanela ; Capuder, Tomislav ; Delimar, Marko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 1st IEEE Energycon Conference
/ - Manama, 2010, 688-693
ISBN
9789990171105
Skup
IEEE International Energy Conference and Exibition Energycon 2010
Mjesto i datum
Manama, Bahrein, 18.12.2010. - 22.12.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
predviđanje opterećenje; algoritmi grupiranja; metode praznih područja
(load forecasting; clustering algorithms; VAI methods)
Sažetak
Load forecasting is one of the critical activities in electric power system planning. This paper presents clustering algorithms and their usage in load forecasting on a case study in Zagreb, Croatia. Load data acquisition is not always being systematically conducted in distribution networks and some data often has to be extrapolated. For such methods to work additional computation and grouping algorithms have to be used in addition to classical trend forecasting methods. Furthermore, the paper emphasizes on load forecasting in areas with no load history.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036-0361590-1587 - Planiranje i vođenje aktivnih razdjelnih mreža i mikromreža
036-0361590-1591 - Razvoj alata za analizu tržišta električne energije (Krajcar, Slavko, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
