Control of Thermal Grid Systems by Machine Learning Techniques Incorporating Mathematical Programming

We consider thermal grid systems which aim to control a number of air conditioning systems as a unit. The ther-mal grid has a number of heat source units and air conditioning machines, and they are connected by pipes. In order to achieve the cooperative control of them, we propose a machine learning approach in which artificial neural networks are involved and it is trained by using mathematical programming techniques. Through some numerical experiments with the actual settings of the thermal grid systems, the potential of our proposed method is examined.