Efficient Data-Driven MPC for Demand Response of Commercial Buildings

arXiv:2401.15742v2 Announce Type: replace-cross
Abstract: Model predictive control (MPC) has been shown to significantly improve the energy efficiency of buildings while maintaining thermal comfort. Data-driven approaches based on neural networks have been proposed to facilitate system modelling. However, such approaches are generally nonconvex and result in computationally intractable optimization problems. In this work, we design a readily implementable energy management method for small commercial buildings. We then leverage our approach to formulate a real-time demand bidding strategy. We propose a …

abstract arxiv buildings commercial control cs.lg cs.sy data data-driven demand eess.sy efficiency energy energy efficiency however modelling mpc networks neural networks optimization predictive replace type while