https://journals.mesopotamian.press/index.php/BJN <p style="text-align: justify;">The Babylonian Journal of Networking (EISSN: 3006-5372) focuses on cutting-edge advancements in networking technologies. This specialized publication invites researchers to share high-quality contributions covering computer networks, wireless communication, network security, and the Internet of Things (IoT). Through rigorous review, it aims to disseminate innovative insights and foster collaboration in this dynamic field</p> Mesopotamian Academic Press en-US Babylonian Journal of Networking 3006-5372 https://journals.mesopotamian.press/index.php/BJN/article/view/699 <p>Turkey has made national energy accessibility the top of its priorities. Less than 90% of the nation's 82 million citizens can access electricity today. Workers use solar power and wind energy to provide more electricity across the nation. Solar power wind power and power electronics help Turkey save money as it works to fix its energy issues. Load Frequency Control inveters help Turkey as a developing country reduce solar power costs through advanced power electronics technologies. IC-based electronics improvements let us make energy components work better at less cost compared to previous expensive hardware. LFC inverters help add renewable energy to existing grids according to latest research and can solve energy problems worldwide. The analysis sees solar power providing 35% of Turkey's power output by 2050. Wind energy stands out for its unmatched marginal fuel cost advantage. Utility-scale solar power beats other generation sources because it costs no fuel to produce power while releasing minimal greenhouse gases which supports global decarbonization efforts. The analysis shows that our updated energy model matches actual LFC metering data through similar energy output numbers and trends. Our predicted numbers using the standard Load Flow Control system proved less precise than actual measurements. Our simulation produced 3.9% additional renewable energy estimates than actual meter readings whereas the basic model showed 52% less output. Our revised energy model in MATLAB shows good precision when it uses 10% solar power and 9.90% wind power input. Our hybrid scheme produced precise predictions when combining both solar and wind systems with 57.16% solar and 57.20% wind percentages.</p> Zainab Ali Abbood Copyright (c) 2025 Zainab Ali Abbood https://creativecommons.org/licenses/by/4.0 2025-01-10 2025-01-10 2025 1 13 10.58496/BJN/2025/001