An AI-Powered Simulation and Optimisation Framework for Energy Infrastructure Investment to Achieve Pareto Optimum Solutions

Abstract

The growing demand for hybrid energy infrastructures worldwide and Australia necessitates the development of sustainable and efficient solutions that are not only cost-effective but also environmental-friendly. However, the performance, financial, and environmental impact of energy infrastructure is limited to the industry, owing to its complexity. Traditional optimisation methods are not feasible for the Australian industry due to their reliance on time-consuming and resource-intensive detailed simulations. To address this challenge, this study introduces an artificial intelligence (AI)-powered simulation and optimisation framework aimed at achieving Pareto optimum solutions for energy infr..