The whole world faces the problem of water shortage, high cost of energy resources and their efficient use. To solve such global problems, a new hybrid control system is proposed. This article discusses the topic of control of water filling and heating systems in smart homes. The purpose of the article is to analyze the comparison of traditional and modern methods of modeling the system. Particular attention is paid to the creation of a mathematical model based on the proposed method, which includes signal filtering with a Kalman filter, smoothing the filtered signals with adaptive splines and dynamically changing and adjusting the PID controller coefficients with neuro-fuzzy control. The goal is to improve the efficiency and accuracy of the system in real time. The models of the provided strategies are shown with a detailed solution. Many comparison analyses and their calculations have been carried out, indicating them in tables and graphs. From the results obtained, we can say with confidence that the hybrid model based on neuro-fuzzy control with a PID controller is the most efficient, economically feasible and environmentally friendly. The use of the control system will reduce the load on the urban energy infrastructure.