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Smart buildings are increasingly using Internet of Things (IoT)-basedwireless sensing systems to reduce their energy consumption and environmentalimpact. As a result of their compact size and ability to sense, measure, andcompute all electrical properties, Internet of Things devices have becomeincreasingly important in our society. A major contribution of this study isthe development of a comprehensive IoT-based framework for smart city energymanagement, incorporating multiple components of IoT architecture andframework. An IoT framework for intelligent energy management applications thatemploy intelligent analysis is an essential system component that collects andstores information. Additionally, it serves as a platform for the developmentof applications by other companies. Furthermore, we have studied intelligentenergy management solutions based on intelligent mechanisms. The depletion ofenergy resources and the increase in energy demand have led to an increase inenergy consumption and building maintenance. The data collected is used tomonitor, control, and enhance the efficiency of the system.

Intelligent Energy Management with IoT Framework in Smart Cities Using  Intelligent Analysis: An Application of Machine Learning Methods for Complex  Networks and Systems