Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining

Zhao, Jie; Lasternas, Bertrand; Lam, Khee Poh; Yun, Ray; Loftness, Vivian

doi:10.1016/j.enbuild.2014.07.033

Cited by 293Building Energy and Comfort OptimizationSmart Grid Energy ManagementBuilding energy efficiency and sustainability

Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining

Zhao, Jie, Lasternas, Bertrand, Lam, Khee Poh, Yun, Ray, Loftness, Vivian·2014·Energy and Buildings

DOI 10.1016/j.enbuild.2014.07.033

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Occupancy detection represents an opportunity for ML algorithms, ranging from decision trees to deep neural networks using various inputs.
“Moreover, occupancy detection itself represents an opportunity for ML algorithms, ranging from decision trees [193,882] to deep neural networks [896] that take input from occupancy sensors [193], WiFi signals [896,897], or appliance power consumption data [882].”
From Tackling climate change with machine learning (2023) · cites this paper as [882]

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Authors: Zhao, J., Lasternas, B., Lam, K. P., Yun, R., & Loftness, V.
Affiliations: Carnegie Mellon University (US)
Corresponding author: Zhao, Jie
ORCID: Zhao, Jie
Lam, Khee Poh
Loftness, Vivian
Venue: Energy and Buildings
Publisher: Elsevier BV
Published: 2014-10
Volume: 82
Pages: 341-355
ISSN: 0378-7788 (ISSN-L)
DOI: 10.1016/j.enbuild.2014.07.033
OpenAlex: W2071158874
Cited by: 293
References: 66
Citations by year: 2026: 5 · 2025: 11 · 2024: 29 · 2023: 13 · 2022: 26 · 2021: 42 · 2020: 33 · 2019: 27 · 2018: 30 · 2017: 32 · 2016: 24 · 2015: 20 · 2014: 1
FWCI: 38.03
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Energy and Buildings (publishedVersion)
KiltHub Repository (submittedVersion)
Funders: National Science Foundation (NSF)
Efficient Buildings Hub Consortium
Topics: Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
Keywords: occupant behavior, data mining, building energy simulation, HVAC energy consumption, indoor environment, sustainable building design, EnergyPlus, climate zone effects

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