In today's push for sustainable urban development, wind-solar hybrid street lighting represents a breakthrough in green energy technology. These systems combine advanced wind and photovoltaic power generation to deliver reliable, eco-friendly lighting solutions for cities and rural. Discover how the innovative integration of wind and solar power creates a sustainable solution for urban and rural lighting needs, offering reliable illumination through complementary renewable energy sources. It is like the “commander” of the system, ensuring that the entire. This paper presents an optimization method for hybrid energy systems based on Model Predictive Control (MPC), Long Short-Term Memory (LSTM) networks, and Kolmogorov–Arnold Networks (KANs).