With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …

This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0
into the design and construction of intelligent, environmentally friendly, and long-lasting …

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 …

This paper proposes a central energy management system (EMS) in smart buildings. It is
based on the coalition method for optimal energy sharing between smart buildings. Game …

Future buildings are complex systems that aim at improving the quality of life of their
inhabitants and increasing safeness, security, and efficiency. In order to reach these goals …

Recent studies have reported that occupants' physiological responses can be indicators of
indoor environmental quality (IEQ). As a result, there is an emerging demand for devices to …

As the world becomes increasingly urbanized, the development of smart cities and the
deployment of IoT applications will play an essential role in addressing urban challenges …

These days, users consume more electricity during peak hours, and electricity prices are
typically higher between 3: 00 pm and 11: 00 pm If electric vehicle (EV) charging occurs …

Recent advancements in the Internet of Things and Machine Learning techniques have
allowed the deployment of sensors on a large scale to monitor the environment and model …

With the growing need to obtain information about power consumption in buildings, it is
necessary to investigate how to collect, store, and visualize such information using low-cost …