a novel energy management system to optimize the energy consumption in a smart building

Over the last few decades, the majority of industrialized and developed countries have placed a strong emphasis on reducing the amount of wasted energy. in this study, electrical energy consumption is optimized by monitoring power consumption caused by residents’ activities at various times of the day and storing this data in a database. an optimization algorithm was used in this study to smarten up the management of energy consumption in the building based on inhabitants’ activities. the genetic algorithm (ga) was used to optimize the energy consumption in a smart building compared to a traditional building. furthermore, the algorithm will enable the creation of a smart building that requires no human intervention by presenting a model based on the energy efficiency management system for the automatic operation of household equipment based on the presence of the resident scenario. the main benefit of implementing smart grid technology in the studied building was the ability to manage and monitor the energy supply and demand process. the results showed that the proposed management system in the smart building consumes less energy and power than conventional buildings. the smart building reduces energy consumption for outlets, lighting, cooling, and heating by 38%, 28%, 34%, and 33%, respectively.