GRENZE International Journal of Engineering and Technology
Vol. 8
(2022), Issue 1
IOT and Machine Learning based Building Energy Management
Authors
Leo Raju, Vallaba Gurunath, Roshan Darran R
Abstract
One unit of energy saved is two units of energy produced. There is more talk on new energy generation and renewable energy than Energy conservation. This paper implements the building energy management and conservation using advanced technologies like Internet of Things (IOT) and Machine Learning. This paper mainly focuses on energy conservation through building automation and energy management through sensors and actuators using advanced IOT technologies. The building appliances are sensed through various types of sensors and controlled using Arduino for optimal use of electricity in the building. Monitoring and control of all the electrical appliances of the building is done through the handheld devices. The unnecessary use of electricity due to carelessness of the customers is identified and controlled remotely using the mobile application. As the energy consumption is monitored continuously all the time which eventually brings awareness about use of energy. Machine learning algorithms are used for accurate load forecasting leading to effective building energy management.
Pages:
679 - 687