[HTML][HTML] Semantic digital twin creation of building systems through time series based metadata inference–A review

R Benfer, J Müller - Energy and Buildings, 2024 - Elsevier
Numerous applications are being developed to enhance the energy efficiency of building
systems, including fault detection and diagnosis, performance assessment, and intelligent …

Plaster: An integration, benchmark, and development framework for metadata normalization methods

J Koh, D Hong, R Gupta, K Whitehouse… - Proceedings of the 5th …, 2018 - dl.acm.org
The recent advances in the automation of metadata normalization and the invention of a
unified schema---Brick---alleviate the metadata normalization challenge for deploying …

A Metadata inference method for building automation systems with limited semantic information

L Chen, HB Gunay, Z Shi, W Shen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Metadata in most existing building automation systems (BASs) is inconsistent, incomplete,
and nondescriptive. This situation is a major obstacle to the widespread use of data …

Relation inference among sensor time series in smart buildings with metric learning

S Li, D Hong, H Wang - Proceedings of the AAAI Conference on Artificial …, 2020 - aaai.org
Abstract Smart Building Technologies hold promise for better livability for residents and
lower energy footprints. Yet, the rollout of these technologies, from demand response …

A large-scale evaluation of automated metadata inference approaches on sensors from air handling units

J Gao, M Bergés - Advanced Engineering Informatics, 2018 - Elsevier
Building automation systems provide abundant sensor data to enable the potential of using
data analytics to, among other things, improve the energy efficiency of the building …

Selective sampling for sensor type classification in buildings

J Ma, D Hong, H Wang - 2020 19th ACM/IEEE International …, 2020 - ieeexplore.ieee.org
A key barrier to applying any smart technology to a building is the requirement of locating
and connecting to the necessary resources among the thousands of sensing and control …

Observability: A principled approach to provisioning sensors in buildings

A Agarwal, V Munigala, K Ramamritham - Proceedings of the 3rd ACM …, 2016 - dl.acm.org
Sensor driven building management involves tasks like reducing and optimizing power
consumption, monitoring the health of the building appliances, maintaining quality of the …

Serein: Smart home sensor relationship inference

S Nack, R Iqbal, S Liu - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Determining sensor relationships in smart environments is complex due to the variety and
volume of time series information they provide. Moreover, identifying sensor relationships to …

MetamEnTh: A Object-Oriented Metamodel for IoT Systems in Buildings

P Yefi, RP Menon, U Eicker… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Buildings consist of systems that have to interact and coordinate with various systems to
function smoothly. It is essential to have models and representations of buildings in forms …

Machine learning in sensor identification for industrial systems

L Weber, R Lenz - it-Information Technology, 2023 - degruyter.com
This paper explores the potential and limitations of machine learning for sensor signal
identification in complex industrial systems. The objective is a tool to assist engineers in …