The main goal of this project is to investigate the application of artificial intelligence (AI) for modelling and analysis of energy systems, including intermittent renewables, storage systems and the dispatchable energy units to meet the expected demand side requirements. This is achieved by utilizing real or simulated plant data from intermittent and dispatchable supply units, combined with other inputs such as operational conditions, demand patterns, costs, and market price.

This project aims at providing a generic approach for optimum management of energy systems, using the real-time capability of AI based solutions. A tool will be developed to conduct techno-economic analysis of energy systems for real time applications to meet the energy demand, supporting optimum management of aggregated energy systems.