Kolmogorov's Theory of Turbulence provides a statistical framework for understanding the chaotic and unpredictable nature of turbulent fluid flows by focusing on the energy cascade from large to small scales. It introduces the concept of self-similarity and universal scaling laws, which predict the distribution of energy across different scales in the inertial subrange of turbulence.