Simulated and Optimized Small-scale Energy Systems Using ML and GA

Developed a model to analyze the thermal performance of a Combined Cooling, Heating, and Power (CCHP) system. By applying Machine Learning (specifically, a Multi-Layer Perceptron) and utilizing Genetic Algorithms (GA) for multi-objective optimization across various system designs, ensured faster and more efficient optimization of its performance.