Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review
As urban development progresses, the built environment control has faced more critical
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …
Toward non-intrusive load monitoring via multi-label classification
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …
will help utilities make more efficient use of their generation assets by reducing consumers' …
A literature survey on measuring energy usage for miscellaneous electric loads in offices and commercial buildings
This paper presents the current state of the art regarding work performed related to the
electric energy consumption for Information and Communication Technologies (ICTs) and …
electric energy consumption for Information and Communication Technologies (ICTs) and …
Data fusion in predicting internal heat gains for office buildings through a deep learning approach
Abstract Heating, Ventilation, and Air Conditioning (HVAC) is a major energy consumer in
buildings. The predictive control has demonstrated a potential to reduce HVAC energy use …
buildings. The predictive control has demonstrated a potential to reduce HVAC energy use …
Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method
Building energy consumption accounts for a large proportion of energy use globally.
Previous works have shown that a large amount of energy is wasted in under-or over …
Previous works have shown that a large amount of energy is wasted in under-or over …
Predicting plug loads with occupant count data through a deep learning approach
Predictive control has gained increasing attention for its ability to reduce energy
consumption and improve occupant comfort in buildings. The plug loads prediction is a key …
consumption and improve occupant comfort in buildings. The plug loads prediction is a key …
A case study on the individual energy use of personal computers in an office setting and assessment of various feedback types toward energy savings
A Kamilaris, J Neovino, S Kondepudi, B Kalluri - Energy and Buildings, 2015 - Elsevier
There is evidence that occupants' energy use holds a large fraction of the total energy
consumed at the office. Our work, motivated by a relevant study investigating the effect of …
consumed at the office. Our work, motivated by a relevant study investigating the effect of …
Automated load disaggregation for residences with electrical resistance heating
Building-related heating consumes 80% of final energy in the Swiss residential sector.
Electrical resistance heating systems consumed 9.3 PJ and 7.9 PJ for space and domestic …
Electrical resistance heating systems consumed 9.3 PJ and 7.9 PJ for space and domestic …
Sensitivity analysis for building energy audit calculation methods: Handling the uncertainties in small power load estimation
The use of static calculation models in building energy audits typically requires estimation of
power loads, as appliance load monitoring is both expensive and intrusive. Small power …
power loads, as appliance load monitoring is both expensive and intrusive. Small power …
Feature extraction for load identification using long-term operating waveforms
This paper introduces a novel finite-state-machine (FSM) representation of long-term load
operating waveforms for feature extraction and load identification. An operating waveform is …
operating waveforms for feature extraction and load identification. An operating waveform is …