Near-real-time plug load identification using low-frequency power data in office spaces: Experiments and applications

ZD Tekler, R Low, Y Zhou, C Yuen, L Blessing… - Applied Energy, 2020 - Elsevier
Plug loads account for up to one-third of the overall energy use in commercial buildings.
There is thus a growing research interest in utilising load monitoring systems to track plug …

[图书][B] Statistical Learning Towards Gamification in Human-Centric Cyber-Physical Systems

I Konstantakopoulos - 2018 - search.proquest.com
This dissertation thesis explores Human-Centric Cyber-Physical Systems by simultaneously
considering users' behavior/preference and their interaction as strategic agents. We …

[图书][B] Data-Centric Machine Learning for Human-Centric Applications

HP Das - 2023 - search.proquest.com
Climate change and pandemics are two of the most pressing threats facing humanity today.
Addressing these urgent threats require immediate mitigative actions. In the US, buildings …

MySmartE-A Cloud-Based Smart Home Energy Application for Energy-Aware Multi-unit Residential Buildings

H Kim, S Ham, M Promann, H Devarapalli… - ASHRAE …, 2023 - search.proquest.com
In this paper, we present MySmartE, a cloud-based smart home energy application (app)
that aims to promote heating and cooling energy efficiency in multi-unit residential …