Sensitivity analysis and optimization of building operations

HB Gunay, M Ouf, G Newsham, W O'Brien - Energy and Buildings, 2019 - Elsevier
Operator decisions regarding daily and seasonal scheduling of systems' availability and
setpoints play an important role in building performance. This paper reviews the key …

[HTML][HTML] Enhancing real-time nonintrusive occupancy estimation in buildings via knowledge fusion network

C Lu - Energy and Buildings, 2024 - Elsevier
Real-time nonintrusive occupancy estimation can maximize the use of existing sensors to
infer occupant information in buildings with the advantages of fewer privacy concerns and …

Hierarchical Modelling for CO2 Variation Prediction for HVAC System Operation

I Shaer, A Shami - Algorithms, 2023 - mdpi.com
Residential and industrial buildings are significant consumers of energy, which can be
reduced by controlling their respective Heating, Ventilation, and Air Conditioning (HVAC) …

[HTML][HTML] Rule-based scheduling of air conditioning using occupancy forecasting

M Dorokhova, C Ballif, N Wyrsch - Energy and AI, 2020 - Elsevier
Heating, ventilation and air conditioning systems represent considerable potential for energy
savings, which can be realized through intelligent occupancy-centered control strategies. In …

A review of building parameters' roles in conserving energy versus maintaining comfort

R Alsharif, M Arashpour, V Chang, J Zhou - Journal of Building Engineering, 2021 - Elsevier
Building operations constitute a significant amount of energy consumption globally.
Although approaches to optimise energy consumption have emerged, maintaining comfort …

MARTINI: Smart meter driven estimation of HVAC schedules and energy savings based on Wi-Fi sensing and clustering

K Nweye, Z Nagy - Applied Energy, 2022 - Elsevier
HVAC systems account for a significant portion of building energy use. Nighttime setback
scheduling is an Energy Conservation Measure (ECM) where cooling and heating setpoints …

Trending machine learning models in cyber‐physical building environment: A survey

Z Hasan, N Roy - Wiley Interdisciplinary Reviews: Data Mining …, 2021 - Wiley Online Library
Electricity usage of buildings (including offices, malls, and residential apartments)
represents a significant portion of a nation's energy expenditure and carbon footprint. In the …

A framework for a multi-source, data-driven building energy management toolkit

AA Markus, BW Hobson, HB Gunay, S Bucking - Energy and Buildings, 2021 - Elsevier
Poor building energy performance often arises from suboptimal operations such as
inappropriate control sequences or hard faults in heating, ventilation, and air-conditioning …

Occupancy estimation using IoT sensors and machine learning: Incorporating ventilation system operating state and preprocessed differential pressure data

J Kim, A Choi, HJ Moon, JW Moon, M Sung - Building and Environment, 2023 - Elsevier
Indoor occupancy should be measured to reduce energy consumption in buildings and
predict infection risk. Various studies used machine learning to measure occupancy using …

CROOD: Estimating crude building occupancy from mobile device connections without ground-truth calibration

JY Park, K Nweye, E Mbata, Z Nagy - Building and Environment, 2022 - Elsevier
The occupancy information in buildings is fundamental for smart buildings (eg, occupant-
centric controls). Opportunistic occupancy detection (OOD) uses connection data of mobile …