Management and real-time monitoring of interconnected energy hubs using digital twin: Machine learning based approach

•Develop a novel approach called SEH that represents multi-carrier energy systems operating in the SG environments.•The optimum size of the important equipment of SEH such as transformers, ACHs, boilers, and CHP have been considered.•An RL method has been proposed to solve the optimization issue in this article, and also the problem is described as reward function, action space, and state space.•Three criteria as net present value (NPV), rate of return (ROR), and dynamic payback period (DPP) have been applied to approximate the efficiency of the project in the Discounted cash flow (DCF).•The residential customer as an SEH is considered to validate the proposed optimization approach.