BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics

A Prabowo, X Lin, I Razzak, H Xue, EW Yap… - arxiv preprint arxiv …, 2024 - arxiv.org
Buildings play a crucial role in human well-being, influencing occupant comfort, health, and
safety. Additionally, they contribute significantly to global energy consumption, accounting …

Short-term building cooling load prediction based on AKNN and RNN models

F Zhong, H Yu, X **e, Y Wang, S Huang… - Journal of Building …, 2024 - Taylor & Francis
Cooling load is the main energy consumption factor for commercial buildings during
summer. This paper proposes a new approach to realize short-term building cooling load …

Beyond empirical risk: testing data-driven energy models in sparse and biased data regimes

H Kazmi, A Balint, F Jiang, J De Blauwe… - Proceedings of the 15th …, 2024 - dl.acm.org
The energy system is undergoing a fundamental transition, with rapid proliferation of
renewable energy sources and electrification of demand. This means that the status quo of …

Data science skills for the built environment: Lessons learned from a massive open online Python course for construction, architecture, and engineering

C Miller, C Tan - E3S Web of Conferences, 2024 - e3s-conferences.org
It's not just the models, techniques, or technologies that improve building performance; the
digital skills of built environment professionals also play a significant part. The deluge of …

Preliminary developments and insights of the Smart Building Hub: A Norwegian e-infrastructure for energy-flexible and healthy buildings

KH Andersen, A Yang, A Pultier, A Moazami - 2024 - sintef.brage.unit.no
Experience from acquiring, processing, and storing data in past and ongoing research
projects has proven to be much more time-consuming than expected due to a plethora of …