Optimizing energy systems of livestock farms with computational intelligence for achieving energy autonomy

• Published in: Scientific reports Vol. 15; no. 1; pp. 10777 - 20
• Main Authors: Tryhuba, Anatoliy, Hutsol, Taras, Čėsna, Jonas, Tryhuba, Inna, Mudryk, Krzysztof, Francik, Sławomir, Kukharets, Savelii, Mishchenko, Ivan, Oliinyk, Roman
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 28.03.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/4077; 639/705; 704/106/694/2786; 704/106/694/682; Algorithms; Alternative energy; Alternative energy sources; Autonomy; Computational intelligence; Computer applications; Emissions; Energy consumption; Energy demand; Energy resources; Energy supply; European green deal; Farms; Genetic algorithms; Humanities and Social Sciences; Livestock; Livestock farm; Livestock farming; Mathematical models; multidisciplinary; Optimization; Permits; Renewable energy sources; Renewable resources; Resource management; Science; Science (multidisciplinary); System; Energy supply; Genetic algorithm; Efficiency; Model; Livestock farm; Computational intelligence; Optimization; System; European green deal

The relevance of the study is due to the need to increase the energy autonomy of livestock farms by introducing innovative solutions based on computational intelligence. Given the significant energy consumption by livestock farms, as well as the reduced dependence on traditional energy sources, ther...