This paper presents the design of a computational tool with Artificial Intelligence (AI) to find behavior patterns in consumption and the optimum point of operation of the system by using data mining and the computational algorithm for monitoring demand management of the freezing water system of the central building of the Universidad Autónoma de Occidente (UAO). The results showed the optimization of energy systems in buildings, employing big data analytics and computational tools, which were fundamental bases for the development of the algorithm that allowed the design of the methodology to optimize the point of operation of the loads that make up the freezing water system of the central building performing efficient management and operation of the energetic resources. The authors hope that the developed methodology in this project can be applied in other types of facilities to allow more efficient electricity use.