Active Collaborative Sensing for Energy Breakdown

@article{Jia2019ActiveCS,
  title={Active Collaborative Sensing for Energy Breakdown},
  author={Yiling Jia and Nipun Batra and Hongning Wang and Kamin Whitehouse},
  journal={Proceedings of the 28th ACM International Conference on Information and Knowledge Management},
  year={2019}
}
  • Yiling Jia, Nipun Batra, K. Whitehouse
  • Published 2 September 2019
  • Engineering, Computer Science
  • Proceedings of the 28th ACM International Conference on Information and Knowledge Management
Residential homes constitute roughly one-fourth of the total energy usage worldwide. Providing appliance-level energy breakdown has been shown to induce positive behavioral changes that can reduce energy consumption by 15%. Existing approaches for energy breakdown either require hardware installation in every target home or demand a large set of energy sensor data available for model training. However, very few homes in the world have installed sub-meters (sensors measuring individual appliance… 

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