neobjavljeni prilog sa skupa
A dual-component modeling approach for renewable electricity production in Croatia, focusing on hydro, solar and wind power plants is presented. Using the Discrete Fourier Transform (DFT) and a shifted logistic function, monthly data were analyzed to predict seasonal variations and long-term growth trends. The model effectively identifies dominant frequencies, recurring patterns and growth trajectories in renewable electricity production. The results offer valuable insights for assessing environmental impacts and optimizing energy management systems in Croatia.
Renewable Electrical Energy, Discrete Fourier Transform, Shifted Logistic Function, Seasonal Variations
Razvojem virtualizacijskih tehnologija raste kompleksnost IT sustava, dok korisnici istovremeno zahtijevaju brži pristup resursima, napredne integracije i jednostavnost korištenja. Jedno od ključnih rješenja za ove izazove primjena je…
Ovaj rad istražuje i uspoređuje mogućnosti prosljeđivanja grafičkih kartica na Hyper-V i KVM hipervizorima prema virtualnim strojevima, detaljno opisujući metode, postupke i razlike u arhitekturi koje utječu na…
The ever-growing usage and adaptation of HTTP/3 in web traffic leverages Quick UDP Internet Connections (QUIC) as a transport protocol. QUIC is widely recognized for reduced latency, enhanced…
