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Journal of Building Performance Simulation Volume 8, 2015 - Issue 6
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Original Articles

Energy and demand implication of using recommended practice occupancy diversity factors compared to real occupancy data in whole building energy simulation

Carlos DuarteIntegrated Design Lab, College of Arts & Architecture, University of Idaho, 306 S. 6th St., Boise, ID83702, USACorrespondence[email protected]
,
Ralph BudwigCollege of Engineering, University of Idaho, 322 East Front Street, Boise, ID83702, USA
&
Kevin Van Den WymelenbergIntegrated Design Lab, College of Arts & Architecture, University of Idaho, 306 S. 6th St., Boise, ID83702, USA
Pages 408-423 | Received 29 May 2013, Accepted 12 Sep 2014, Published online: 05 Nov 2014

Citations (8)

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Read on this site (2)

Mohamed M. Ouf, William O’Brien & H. Burak Gunay. (2020) Optimization of electricity use in office buildings under occupant uncertainty. Journal of Building Performance Simulation 13:1, pages 13-25.
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Mohamed M. Ouf, H. Burak Gunay & William O'Brien. (2019) A method to generate design-sensitive occupant-related schedules for building performance simulations. Science and Technology for the Built Environment 25:2, pages 221-232.
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Articles from other publishers (6)

Chulho Kim, Jiwook Byun, Jaehyun Go & Yeonsook Heo. (2022) Structured Probabilistic Models for Capturing Household and Temporal Variations in the Internal Electricity Load. Energy and Buildings, pages 112685.
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Shide Salimi & Amin Hammad. (2020) Sensitivity analysis of probabilistic occupancy prediction model using big data. Building and Environment 172, pages 106729.
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Pieter Wilde. 2018. Building Performance Analysis. Building Performance Analysis 503 587 .
Theis Heidmann Pedersen, Kasper Ubbe Nielsen & Steffen Petersen. (2017) Method for room occupancy detection based on trajectory of indoor climate sensor data. Building and Environment 115, pages 147-156.
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Qinpeng Wang, Godfried Augenbroe, Ji-Hyun Kim & Li Gu. (2016) Meta-modeling of occupancy variables and analysis of their impact on energy outcomes of office buildings. Applied Energy 174, pages 166-180.
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Chulho Kim, Jiwook Byun, Jaehyun Go & Yeonsook Heo. (2021) Structured Probabilistic Models for Predicting Internal Electricity Loads in Residential Communities. SSRN Electronic Journal.
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