Pregled bibliografske jedinice broj: 889907
Evaluation of probability-distribution models for wind- and net-load-power forecast error
Evaluation of probability-distribution models for wind- and net-load-power forecast error // 2017 6th International Conference on Clean Electrical Power (ICCEP)
Santa Margherita Ligure: Institute of Electrical and Electronics Engineers (IEEE), 2017. str. 196-199 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 889907 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Evaluation of probability-distribution models for wind- and net-load-power forecast error
Autori
Polajžer, Boštjan ; Srpak, Dunja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2017 6th International Conference on Clean Electrical Power (ICCEP)
/ - Santa Margherita Ligure : Institute of Electrical and Electronics Engineers (IEEE), 2017, 196-199
Skup
2017 6th International Conference on Clean Electrical Power (ICCEP), Santa Margherita Ligure, Italy,
Mjesto i datum
Santa Margherita Ligure, Italija, 27.06.2017. - 29.06.2017
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
probability density function, forecasting, wind power generation
(Predictive models, Load modeling, Probability density function, Load forecasting, Probability distribution, Numerical models, Shape)
Sažetak
This paper proposes several probability distribution models for wind- and net-load- power forecast error, i.e., a generalized normal model (GN) and extended skew- generalized-normal models (ESGN, SGN and SN). They are all compared to different models known from the literature (beta, Weibull and gamma). The evaluation of the discussed probability distribution models shows that the ESGN model presents better fit for probability and cumulative distribution functions.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
