The Role of Machine Learning and the Internet of Things in Smart Buildings for Energy Efficiency
Source abstract
Abstract
Machine learning can be used to automate a wide range of tasks. Smart buildings, which use the Internet of Things (IoT) to connect building operations, enable activities, such as monitoring temperature, safety, and maintenance, for easier controlling via mobile devices and computers. Smart buildings are becoming core aspects in larger system integrations as the IoT is becoming increasingly widespread. The IoT plays an important role in smart buildings and provides facilities that improve human security by using effective technology-based life-saving strategies. This review highlights the role of IoT devices in smart buildings. The IoT devices platform and its components are highlighted in this review. Furthermore, this review provides security challenges regarding IoT and smart buildings. The main factors pertaining to smart buildings are described and the different methods of machine learning in combination with IoT technologies are also described to improve the effectiveness of smart buildings to make them energy efficient.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Air Quality Monitoring and Forecasting · IoT-based Smart Home Systems · Smart Grid Energy Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Computer Science & Information Technology, Virtual University of Pakistan, Lahore 54000, Pakistan
Institute of Computing & Information Technology, Gomal University, Dera Ismail Khan 29220, Pakistan
School of Science, Engineering, and Environment, University of Salford, The Crescent, Salford M5 4WT, UK
Department of Computer Science & IT, The University of Lahore, Lahore 54000, Pakistan
School of Computer Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia
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