Despite the successful applications of MPC, most predictive controllers rely heavily on the precision of the predictive model. For model-based MPC, the predictive model is usually generated using the ...

This paper presents a model predictive control (MPC) strategy for maximizing photo-voltaic (PV) self-consumption in a household context exploiting the flexible demand of an electric water heater. The ...

The project features the implementation of a data-driven Model Predictive Controller (MPC), offering ease of utilization. MPC, commonly applied in real-world and industrial settings, is favored for ...

Model predictive control (MPC) is a newly developed control algorithm which can realize the optimal by the state predict and optimal control with lest control errors and smallest control cost. MPC is ...

This paper presents a study to optimize the heating energy costs in a residential building with varying electricity price signals based on an Economic Model Predictive Controller (EMPC). The ...

Model predictive control (MPC) is a powerful and flexible technique for designing control systems that can handle complex dynamics, constraints, and uncertainties. MPC uses a mathematical model of ...

MPC only considers the first calculated control input and then recomputes an optimal forecast depending upon the feedback. Therefore, MPC is a model-based, optimal, predictive, iterative and ...

The heating units in the building are hot-water radiators distributed among the rooms and fed by hot water via inlet electro-valves which can control the water flow rate. The building model was ...