20.500.12556/DKUM-91981 Study of environmental impacts on overhead transmission lines using genetic algorithms In our study, we explored the complexities of overhead transmission line (OTL) engineering, specifically focusing on their responses to varying atmospheric conditions (ambient temperature, ambient humidity, solar irradiance, ambient pressure, wind speed, wind direction), and electric current usage. Our goal was to comprehend how these independent variables impact critical responses (dependent variables) such as conductor temperature, conductor sag, tower leg stress, and vibrations – parameters crucial for electric distribution. We modelled the target output variable as a polynomial of a certain degree of the input variables. The precise forms of the polynomial were determined using the genetic algorithms (GA). Developed models are essential for quantifying the influence of each input parameter, enriching our understanding of essential system elements. They provide long-term predictions for assessing transmission line lifespan and structural stability, with particularly high precision in forecasting temperature and sag angle. It is important to note that certain engineering parameters, such as material properties and load considerations, were not included in our research, potentially influencing accuracy. Overhead Transmission Lines (OTL) machine learning modelling optimization genetic algorithms (GA) daljnovodi strojno učenje modeliranje optimizacija genetski algoritmi true false true DAAAM International Vienna Angleški jezik Slovenski jezik https://www.ijsimm.com/ Članek v reviji 2025-03-10 11:57:32 2025-03-10 11:57:32 2025-03-11 03:12:00 0000-00-00 00:00:00 2023 0 0 str. 610-618 no. 4 Vol. 22 Dec. 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2023-12-01 621.384.658 174719235 10.2507/IJSIMM22-4-661 1726-4529 text22-4_661.pdf text22-4_661.pdf 1 4FC510F5CC72A5DD52E121961856BE88 b01460c446b81d93311982ccfecefe0253a8cb4fe0b3549815f7553b651d02fc bed7500f-fd9e-11ef-b09f-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=189087 https://www.ijsimm.com/Full_Papers/Fulltext2023/text22-4_661.pdf 0 d476fa58-fd9e-11ef-b09f-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=189088 Fakulteta za strojništvo 0 0 0