ver a day, a week, or a year. The inputs to the model include data on the energy demand, energy supply, and the performance of the energy systems. The model then calculates the energy consumption, the energy production, and the efficiency of the energy system. The output of the model can be used to identify areas for improvement and to optimize the performance of the energy system.

Real-time simulation model: This model is a dynamic simulation that is used to analyze the short-term behavior of the energy system in real-time. The real-time simulation model assumes that the changes in the system occur quickly and that the system is constantly adapting to the changing conditions. This model is useful for analyzing the response of the energy system to sudden changes in the energy demand or energy supply.

The real-time simulation model can be used to simulate the behavior of the energy system over a few minutes or hours. The inputs to the model include data on the energy demand, energy supply, and the performance of the energy systems. The model then calculates the energy consumption, the energy production, and the efficiency of the energy system in real-time. The output of the model can be used to optimize the operation of the energy system, to identify potential failures, and to provide real-time control of the energy system.

Overall, both quasi-state and real-time simulation models are important tools for analyzing and optimizing the performance of a smart energy campus. While the quasi-state model is useful for long-term planning and optimization, the real-time model is necessary for real-time monitoring and control of the energy system.