A significant amount of energy can be saved through improving occupant behavior.
However, implementing energy-saving behavioral changes requires careful consideration …

Abstract Development of models based on the Internet of Things (IoT) for household
framework leads to the establishment of smart appliances more and more for improving the …

The different thermal comfort indices such as Predictive Mean Vote (PMV), Standard
Effective Temperature (SET), and Thermal Sensations (TS) have been used to predict …

Background: Electricity is considered as the essential unit in today's high-tech world. The
electricity demand has been increased very rapidly due to increased urbanization,(smart …

In recent years, artificial intelligence (AI) techniques, and in particular machine learning
(ML), have been adopted for forecasting building energy consumption and performance …

The research aims at providing a state of the art regarding the use of Post-occupancy
evaluations (POEs) to optimize the facility management phase of large building stocks …

In addition, I certify that this submission contains no material previously submitted for the
award of any qualification at any other university or institution unless approved for a joint …

Buildings are realized through engineering processes in projects, that however tend to result
in cost and/or time overrun. Therefore, a need is highlighted by the industry and the …

The two-volume set LNBIP 353 and 354 constitutes the proceedings of the 22nd
International Conference on Business Information Systems, BIS 2019, held in Seville, Spain …

Big data, reflecting both qualitative information and quantitative material, can be used within
the construction management processes of complex and large-scale building activities, such …