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Smart* Data Set for Sustainability

The goal of the Smart* project is to optimize home energy consumption. Available here is a wide variety of data collected from three real homes, including electrical (usage and generation), environmental (e.g., temperature and humidity), and operational (e.g., wall switch events). Also available is minute-level electricity usage data from 400+ anonymous homes. Please see the Smart* home page for general information about the project, or the Smart* Tools download page for software that was used in the collection of this data.

Questions? All questions regarding these traces should be directed to Stephen Lee.

Traces


All traces are in CSV format, with data fields named in the included FORMAT files. Please see our dataset paper for further details. Data collection and processing is ongoing, so check this page for future updates.

UMass Smart* Dataset - 2017 release


Apartment dataset

The apartment dataset contains data for 114 single-family apartments for the period 2014-2016.

Home dataset

The traces are made available for multiple years in CSV format and includes a SUMMARY for each file.

NIOM occupancy dataset

This dataset contains 3 weeks minute level aggregated energy data, and the ground truth occupancy status data for the same periods. This dataset is used to evaluate NIOM algorithm.

Solar panel dataset

This dataset contains 1 minute level solar generation data for 50 rooftop solar panels. This dataset is used in SunSpot paper to evaluate the accuracy of the SunSpot system.

UMass Smart* Dataset - 2013 release


 Update (Apr 2013): The initial dataset release contained incorrect environmental data for homes A and B. 
 Corrected environmental traces have been posted.

Home dataset

Publications:


  • [Home dataset] Smart*: An Open Data Set and Tools for Enabling Research in Sustainable Homes. Sean Barker, Aditya Mishra, David Irwin, Emmanuel Cecchet, Prashant Shenoy, and Jeannie Albrecht. Proceedings of the 2012 Workshop on Data Mining Applications in Sustainability (SustKDD 2012), Beijing, China, August 2012. pdf
  • [Home dataset] SmartCharge: Cutting the Electricity Bill in Smart Homes with Energy Storage. Aditya Mishra, David Irwin, Prashant Shenoy, Jim Kurose, and Ting Zhu. Proceedings of the 3rd International Conference on Future Energy Systems (e-Energy 2012), Madrid, Spain, May 2012. pdf
  • [Home dataset] SmartCap: Flattening Peak Electricity Demand in Smart Homes. Sean Barker, Aditya Mishra, David Irwin, Prashant Shenoy, and Jeannie Albrecht. Proceedings of the 10th IEEE International Conference on Pervasive Computing and Communications (PerCom 2012), Lugano, Switzerland, March 2012. pdf
  • [Home dataset] Exploiting Home Automation Protocols for Load Monitoring in Smart Buildings. David Irwin, Anthony Wu, Sean Barker, Aditya Mishra, Prashant Shenoy, and Jeannie Albrecht. Proceedings of the 3rd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys 2011), Seattle, WA, November 2011. pdf
  • [Home dataset] The Case for Efficient Renewable Energy Management for Smart Homes. Ting Zhu, Aditya Mishra, David Irwin, Navin Sharma, Prashant Shenoy, and Don Towsley. Proceedings of the 3rd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys 2011), Seattle, WA, November 2011. pdf
  • [Solar dataset] SunSpot: Exposing the Location of Anonymous Solar-powered Homes. Dong Chen, Srinivasan Iyengar, David Irwin, Prashant Shenoy. Proceedings of the ACM International Conference on Systems for Energy Efficient Build Environments (Buildsys 2016), Palo Alto, CA, November 16-17, 2016 pdf
  • [NIOM dataset] Non-Intrusive Occupancy Monitoring using Smart Meters. Dong Chen, Sean Barker, Adarsh Subbaswamy, David Irwin, and Prashant Shenoy. Proceedings of ACM BuildSys 2013, Rome, Italy, November 11-15, 2013 pdf
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Page last modified on March 09, 2017, at 12:45 PM