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Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms

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 u...
Lin, G. and Mitchell, R. Lawrence Berkeley National Laboratory
Feb 26, 2019
2 Resources
Publicly accessible

Midtown Passive House

To further define its market position on high performance homebuilding, Brookfield worked with IBACOS and the Building America program to design and construct a Passive House (PH) certified[1] model home to evaluate advanced building technologies and to use as a marketing tool for...
Beach, R. et al Ibacos Innovation
Apr 27, 2016
3 Resources
In curation

AlphaBuilding Synthetic Buildings Operation Dataset

This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with...
Li, H. et al Lawrence Berkeley National Laboratory
Dec 21, 2020
5 Resources
Publicly accessible

LBNL Fault Detection and Diagnostics Datasets

These datasets can be used to evaluate and benchmark the performance accuracy of Fault Detection and Diagnostics (FDD) algorithms or tools. It contains operational data from simulation, laboratory experiments, and field measurements from real buildings for seven HVAC systems/equip...
Granderson, J. et al Lawrence Berkeley National Laboratory
Aug 01, 2022
3 Resources
Publicly accessible

Sample IEEE123 Bus system for OEDI SI

The aim of this project is to create an easy-to-use platform where various types of analytics can be performed on a wide range of electrical grid datasets. The aim is to establish an open-source library of algorithms that universities, national labs and other developers can contri...
Elgindy, T. and Balasubramaniam, K. National Renewable Energy Laboratory
Sep 01, 2022
4 Resources
Curated
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