Green Energy Generation Dynamical System: Fractal-Fractional Mathematical Modeling with AI-Driven Data Analysis

As the demand for renewable energy increases, it becomes more vital to efficiently integrate different resources such as wind and solar energy. This study illustrates a novel integrated mechanism for analyzing a green energy generation dynamical system utilizing the Fractal-Fractional (FF) sense of operators. We give a robust deep learning framework designed to successfully model the complex interactions and nonlinear characteristics of these energy sources. This mechanism leverages FF-calculus