To conclude, throughout the research process, a renewable energy system for Yeditepe University was designed, simulated, and optimized using various components, taking into account the rising global electricity prices and hazards such as natural disasters. The energy consumption data obtained from the simulations was provided by the university's energy directorate, and the details were determined using artificial intelligence models and our own assumptions. Three different systems were used. For System 0: PV panels from CW Energy, a 0 MW wind turbine from Leitwind, a 000 kW inverter from Princeton, and a 0 MWh Li-ION battery, which is the base battery of the Homer Pro application. In Scenario 0: 000 W Axitec panels currently on the school buildings' roofs are used, 0 kW wind turbines from Abstract, an 00 kW inverter from CAT, and a 000 kWh Li-ION battery, which is the base battery of the Homer PRO application. The third system used 000 WP solar panels from CW Energy, a 0.0 MW wind turbine from Leitwind, a 00 kW three-phase inverter from DEYE, a 0 MW biofuel generator from Teksan, and a 0 MWh Li-ION battery, the battery of the Homer PRO application. The given systems were compared under different quantification conditions and cost calculations, and a price-performance evaluation was conducted.