Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …

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 …

Today, some cities around the world have tended to use new technologies and become
smart city. New technologies improve the quality of citizens' life. However, the use of any …

The research explores the potential of digital-twin-based methods and approaches aimed at
achieving an intelligent optimization and automation system for energy management of a …

To mitigate the carbon print of buildings, they should have on-site renewable energy
generation systems to supply energy for the buildings without relying on the national grid …

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 …

The rising cost and demand for energy have prompted the need to devise innovative
methods for energy monitoring, control, and conservation. In addition, statistics show that …

Renewable energy is the most dependable and universally acknowledged way of meeting
the world's expanding energy needs. In order to optimize solar energy generation, particular …

Revolutions in human activities and lifestyles result in a transition from conventional to
intelligent residential building infrastructure. Conventional heating, ventilation, and air …

In recent years, there has been growing interest in using Internet of Things (IoT) sensors to
address indoor fire hazards in smart buildings. This study conducted a systematic review of …