Machine Learning and IoT based Performance Improvement of Energy Efficiency in Smart Buildings

Abstract

The energy plays a prominent role in the development of a country’s economic conditions. This helps to increase the overall performance index of a country. Thus a continuous energy system is needed to develop a country’s performance index. Thus to have an advancement in the energy management system, an improved system called smart grid is implemented. This helps in efficient usage of energy management through meeting the demand side managing in the smart buildings. This assistances to decrease the additional procedure of energy consumption through optimization techniques such as genetic algorithm used in smart buildings. This is done with the machine learning through optimization algorithm. This helps to proper scheduling of appliances. This is done through the priority scheduling. The overall performance is done through the internet of things with sensors. The sensors helps in the process of sensing the external physical parameters such as temperature, humidity, moisture, heat and light. This helps to enhance the energy efficiency in the smart buildings through the machine learning and IoT.