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Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms

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This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's large office building model.

Citation Formats

TY - DATA AB - This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's large office building model. AU - Lin, Guanjing A2 - Mitchell, Robin DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.25984/1824861 KW - Commercial Buildings KW - Fault Detection and Diagnostics KW - building energy KW - HVAC KW - VAV KW - EnergyPlus KW - building performance KW - energy KW - raw data KW - AHU KW - air handling unit KW - rooftop units KW - heating KW - cooling KW - air conditioning KW - model KW - building KW - simulation LA - English DA - 2019/02/26 PY - 2019 PB - Lawrence Berkeley National Laboratory T1 - Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms UR - https://doi.org/10.25984/1824861 ER -
Export Citation to RIS
Lin, Guanjing, and Robin Mitchell. Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms. Lawrence Berkeley National Laboratory, 26 February, 2019, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1824861.
Lin, G., & Mitchell, R. (2019). Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms. [Data set]. Open Energy Data Initiative (OEDI). Lawrence Berkeley National Laboratory. https://doi.org/10.25984/1824861
Lin, Guanjing and Robin Mitchell. Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms. Lawrence Berkeley National Laboratory, February, 26, 2019. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1824861
@misc{OEDI_Dataset_910, title = {Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms}, author = {Lin, Guanjing and Mitchell, Robin}, abstractNote = {This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's large office building model. }, url = {https://data.openei.org/submissions/910}, year = {2019}, howpublished = {Open Energy Data Initiative (OEDI), Lawrence Berkeley National Laboratory, https://doi.org/10.25984/1824861}, note = {Accessed: 2025-05-05}, doi = {10.25984/1824861} }
https://dx.doi.org/10.25984/1824861

Details

Data from Feb 26, 2019

Last updated Oct 15, 2021

Submitted Feb 26, 2019

Organization

Lawrence Berkeley National Laboratory

Contact

Guanjing Lin

Authors

Guanjing Lin

Lawrence Berkeley National Lab

Robin Mitchell

Lawrence Berkeley National Lab

DOE Project Details

Project Name Automated Fault Detection and Diagnostics Data Curation and Benchmarking

Project Number FY17 AOP 3.2.6.1

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