The amount of data produced and communicated over the Internet is significantly increasing,
thereby creating challenges for the organizations that would like to reap the benefits from …

The ability to process large amounts of data and to extract useful insights from data has
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …

Big data are widely recognized as being one of the most powerful drivers to promote
productivity, improve efficiency, and support innovation. It is highly expected to explore the …

After decades of evolution and improvements, Artificial Intelligence (AI) is now taking root in
our daily lives, and is starting to profoundly influence the fields of architecture and …

This paper demonstrates the application of Autotune, a methodology aimed at automatically
producing calibrated building energy models using measured data, in two case studies. In …

Building model calibration is critical in bringing simulated energy use closer to the actual
consumption. This paper presents a novel, automated model calibration approach that uses …

Recently, big data has received greater attention in diverse research fields, including
medicine, science, engineering, management, defense, politics, and others. Such research …

Technological advancements focusing on effective and efficient information modeling,
visualization, resource tracking, and collaboration have gained substantial traction in the …

With the UK climate projected to warm in future decades, there is an increased research
focus on the risks of indoor overheating. Energy-efficient building adaptations may modify a …

This study presents a methodology for automated model generation and parameter
estimation of building energy models using semantic modeling and Bayesian estimation …