Authors: Adam Neale, Michaël Kummert, Michel Bernier
Polytechnique Montréal
Existing electricity smart meter data sets lack sufficient details on building parameters to evaluate the impact that home characteristics can have on electricity consumption. An extensive, open-source virtual smart meter (VSM) data set with corresponding building characteristics is provided. The methodology used to develop the VSM data is presented in detail in an accompanying publication.
The data set consists of a variety of homes representative of a subset of the Canadian single-family home building stock generated using building energy simulations. The building characteristics cover a wide range of values that are based on probability distributions developed using a segmentation and characterization process. The resulting model and VSM data set can be used by researchers to develop classification models, verify load disaggregation algorithms, and for a variety of other purposes.
This data set contains:Follow this link to VSM Data set (17 GB file size): VSM_dataset_v1.zip
Please cite this dataset as:
Neale, Adam, Michaël Kummert, Michel Bernier. 2020. "Development of a stochastic virtual smart meter data set for a residential building stock - methodology and sample data."
Journal of Building Performance Simulation, Vol 13, No. 5: 583-605. doi:10.1080/19401493.2020.1800096