Control and optimisation of power grids using smart meter data: A review

Z Chen, AM Amani, X Yu, M Jalili - Sensors, 2023 - mdpi.com
This paper provides a comprehensive review of the applications of smart meters in the
control and optimisation of power grids to support a smooth energy transition towards the …

Exploring the benefits and limitations of digital twin technology in building energy

F Tahmasebinia, L Lin, S Wu, Y Kang, S Sepasgozar - Applied Sciences, 2023 - mdpi.com
Buildings consume a significant amount of energy throughout their lifecycle; Thus,
sustainable energy management is crucial for all buildings, and controlling energy …

Plug-Mate: An IoT-based occupancy-driven plug load management system in smart buildings

ZD Tekler, R Low, C Yuen, L Blessing - Building and Environment, 2022 - Elsevier
Plug load management systems are touted as promising solutions to reduce the rising
energy consumption of plug loads in commercial buildings through different load monitoring …

Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy

ZD Tekler, A Chong - Building and Environment, 2022 - Elsevier
The proliferation of sensing technologies has allowed the collection of occupancy-related
data to support various building applications, including adaptive HVAC and lighting controls …

A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with …

Y Zhang, W Qian, Y Ye, Y Li, Y Tang, Y Long, M Duan - Applied Energy, 2023 - Elsevier
The increasing effects of global warming and energy depletion have raised concerns about
the pollution caused by traditional oil and fossil energy usage. Distributed energy resources …

[HTML][HTML] A hybrid active learning framework for personal thermal comfort models

ZD Tekler, Y Lei, Y Peng, C Miller, A Chong - Building and Environment, 2023 - Elsevier
Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …

An end-to-end point of interest (POI) conflation framework

R Low, ZD Tekler, L Cheah - ISPRS International Journal of Geo …, 2021 - mdpi.com
Point of interest (POI) data serves as a valuable source of semantic information for places of
interest and has many geospatial applications in real estate, transportation, and urban …

User perceptions on the adoption of smart energy management systems in the workplace: Design and policy implications

ZD Tekler, R Low, L Blessing - Energy Research & Social Science, 2022 - Elsevier
Smart energy management systems equipped with advanced sensing and Internet of Things
technologies allow users to monitor and manage their energy consumption through different …

A non-intrusive load monitoring method based on feature fusion and SE-ResNet

T Chen, H Qin, X Li, W Wan, W Yan - Electronics, 2023 - mdpi.com
In the study of non-intrusive load monitoring, using a single feature for identification can lead
to insignificant differentiation of similar loads; however, multi-feature fusion can pool the …

ROBOD, room-level occupancy and building operation dataset

ZD Tekler, E Ono, Y Peng, S Zhan, B Lasternas… - Building …, 2022 - Springer
The availability of the building's operation data and occupancy information has been crucial
to support the evaluation of existing models and development of new data-driven …