Energy Consumption in Smart Buildings using Machine Learning

Energy is the indispensable factor of modern societies. From last few decades, there is rapid increase in world’s energy consumption due to raise of population and their comfort demands. Buildings are accountable for 40% of global energy hence Building Energy Management has become crucial topic nowadays for reducing energy wastage The ability to forecast the amount of energy used in SB and plan for that use is essential for the implementation of energy-efficient management systems. The proposed method for estimating the amount of energy that is used in buildings, as well as offering suggestions for cutting down on energy use and lowering expenses. The systems use the information like temperature humidity air quality etc. This information is analyzed by machine learning forecast the amount of energy that is used by smart buildings.