ROOM TEMPERATURE CONTROL SYSTEM USING INTELLIGENT TECHNOLOGIES TO IMPROVE THE ENERGY EFFICIENCY OF SMART HOMES

Abstract

Energy efficiency monitoring systems for smart homes help ensure optimal energy use and reduce costs. One of the key methods of monitoring the energy efficiency of smart homes is through sensor systems that measure energy consumption in the home, temperature, lighting, and other parameters. This data is then analysed and used to optimize the performance of energy management systems. One way to analyse data is to use artificial intelligence and machine learning algorithms to predict energy consumption and automatically control smart home systems. It is also important to take into account the individual needs of residents and the optimal use of resources. In this work, we have developed an automatic air temperature control system using intelligent technologies that monitors the room temperature and controls the circulation of fresh air in the room without human intervention. The temperature control system in smart homes is used to automatically monitor and regulate the temperature of the room to ensure comfort for residents and optimal energy use. The main components of such a system include temperature sensors, thermostats, and heating and air conditioning systems. With the help of these components, the system can automatically respond to changes in the temperature of the environment and start/stop the heating or air conditioning systems to ensure optimal comfort. Modern smart home temperature control systems use artificial intelligence to analyse data and automatically set optimal temperature parameters, and can learn to adapt to individual user preferences. This technology helps not only to increase comfort in the home but also to reduce energy costs by efficiently managing heating and air conditioning systems.