IoT and Machine Learning in Green Smart Home Automation and Green Building Management

Abstract

Abstract Internet of things (IoT) is a developing concept, which aims to associate billions of devices with each other. The IoT devices sense, assemble, and transfer important information from their environments. This exchange of very large amount of information among billions of devices makes an enormous energy need. The radical growth in urbanization over the last few years needs sustainable, proficient, and smart clarifications for transport, governance, environment, quality of life, and so on. The IoT propose many urbane and universal applications for smart homes. The energy demand of IoT applications is greater than before; while IoT devices carry on to grow in both numbers and necessities. Therefore, IoT-based smart home and its automation must have the capability to competently consume energy and control the allied challenges. Energy management is considered as a key prototype for the comprehension of composite energy systems in smart homes. Further, smart home solutions have to be energy-efficient from both the users’ and environment’s points of view. In other words, smart home solutions have to be energy-efficient, cost-efficient, reliable, secure, and so on. For example, IoT devices should operate in a self-sufficient way without compromising quality of service (QoS) in order to enhance the performance with unremitting network operations. Therefore, the energy efficiency and life span of IoT devices are the key issues to next generation smart home solutions. It has been studied the electrical energy consumption from a prevailing house to make it further efficient presenting as much as possible IoT applications. The smart home applications that are straightforwardly associated with energy efficiency are obviously the light and the temperature monitoring. Hence, they are significant to assure the energy saving. Other smart home arrangements, similar to Fire Detection, Security, are not straightforwardly linked with the energy efficiency. Keywords: IoT, smart home, energy efficiency, Home Appliances, smart grid Cite this Article Partha Ghosh, Suradhuni Ghosh. IoT and Machine Learning in Green Smart Home Automation and Green Building Management. Journal of Alternate Energy Sources & Technologies . 2019; 10(3): 8–36p.