The wide variety of smart devices equipped in modern intelligent buildings and the
increasing comfort requirements of occupants for the environment make the control of …

Due to the recent advancements in the Internet of Things and data science techniques, a
wide range of studies have investigated the use of data mining (DM) and machine learning …

The main challenges of the energy consumption forecasting problem are the concerns for
reliability, stability, efficiency and accuracy of the forecasting methods. The existing …

Incorporating intelligent optimization algorithms in the early stages of office building design
facilitates a better response to the local climate. The indoor and outdoor thermal …

Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …

Buildings consume a significant amount of energy throughout their lifecycle; Thus,
sustainable energy management is crucial for all buildings, and controlling energy …

Despite the tightening of energy performance standards for buildings in various countries
and the increased use of efficient and renewable energy technologies, it is clear that the …

Building energy consumption prediction plays a vital role in building energy systems.
However, the complexity of building energy use behavior and frequent fluctuations in …

Natural ventilation is one of the most potential passive measures to improve the building
energy performance. This study introduces a multi-factor optimization method for energy …

Green retrofitting of existing buildings (GREB) represents one of the best opportunities to
reduce global energy consumption and carbon emissions, as well as improve people's …