The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …

Building occupancy is of great importance for energy efficient control of buildings. A large
number of works have been developed for the estimation and detection of building …

For prognostics and health management of mechanical systems, a core task is to predict the
machine remaining useful life (RUL). Currently, deep structures with automatic feature …

This study carries out a literature review on studies using machine learning (ML) models to
predict occupancy and window-opening behaviour and their application in smart buildings …

Energy simulation results for buildings have significantly deviated from actual consumption
because of the uncertainty and randomness of occupant behavior. Such differences are …

The human dimension information is crucial for efficient building energy saving, health and
productivity, comfort conditions and security management. A great number of studies have …

A review of the heating, ventilation and air-conditioning control problem for buildings is
presented with particular emphasis on its distinguishing features. Next, we not only examine …

Detailed occupancy information in buildings is useful to improve the performance of energy
management systems in order to enable energy consumption savings and maintain …

A review of the literature pertaining to building occupancy detection, counting, and tracking–
three areas under the umbrella of building occupancy estimation–is presented with a focus …

Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …