izvorni znanstveni rad
Accurately assessing delivered energy is essential for optimizing energy efficiency and ensuring reliable performance across various applications. This study evaluates different modeling approaches used for energy assessment, analyzing their predictive capabilities and potential benefits. By comparing measured data with model outputs, the research highlights key factors influencing energy consumption and identifies ways to improve estimation accuracy. Each modeling approach offers unique advantages, balancing complexity, transparency, and 20 computational efficiency. The study emphasizes the importance of selecting appropriate methods based on specific requirements, ensuring robust energy assessments and informed decision-making. The findings contribute to the ongoing development of reliable energy assessment methodologies, supporting efforts to enhance efficiency, optimize resource utilization, and improve overall system performance.
data-driven energy assessment; delivered energy assessment; energy efficiency in buildings
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…
