The surge of machine learning and increasing data accessibility in buildings provide great
opportunities for applying machine learning to building energy system modeling and …

Abstract The integration of Building Information Modeling (BIM) with real-time data from the
Internet of Things (IoT) devices presents a powerful paradigm for applications to improve …

Energy consumption forecasting for buildings has immense value in energy efficiency and
sustainability research. Accurate energy forecasting models have numerous implications in …

Abstract Building Information Modelling (BIM) constitutes the state of the art in the digital
design techniques, and represents one of the main streams of the Industry 4.0 era. The …

Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT)
applications. However, the sensing devices continuously generate a large amount of data …

In this paper, the recursive distributed filtering problem is investigated for a class of discrete
nonlinear time-varying systems under a dynamic event-triggered mechanism. The system …

Abstract Building Energy Management is identified as a key part of the move towards
localised energy generation and control. The significant discrepancy between building …

The importance of building information is highly attached to the ability of conventional
storing to provide professional analysis. The Internet of Things (IoT) and smart devices offer …

Addressing two common challenges for building performance–reducing the carbon footprint
attached to the provision of comfortable indoor environments, and improving the health and …

Energy-harvesting systems provide power autonomy to individual wireless sensor nodes,
allowing simpler deployment, as compared with wired nodes and longer lifetimes than …