Context-Aware and User-Centric Residential Energy Management
Baris Aksanli, Jagannathan Venkatesh, Christine Chan, Alper Sinan Akyurek, Tajana Simunic Rosing

Citation
Baris Aksanli, Jagannathan Venkatesh, Christine Chan, Alper Sinan Akyurek, Tajana Simunic Rosing. "Context-Aware and User-Centric Residential Energy Management". IEEE International Conference on Pervasive Computing and Communications, IEEE, 13, March, 2017.

Abstract
The Internet of Things (IoT) has brought increased sensing, monitoring and actuation capabilities to several domains including residential buildings. Residential energy management methods can leverage these capabilities and devise smarter solutions. This requires processing and reasoning data constantly generated by various IoT devices. In this paper, we use a hierarchical system model for IoT-based residential energy management, that includes a general purpose functional unit to drive data processing and reasoning. We apply this hierarchy to represent the electricity delivery structure from the utilities to individual residences. Our system captures additional data generated by various devices as user context and uses this context to determine user flexibility towards energy management. Our experiments show that modeling user context brings over 14% improvement in energy flexibility prediction accuracy and 12% reduction in annual grid energy cost.

Electronic downloads

Internal. This publication has been marked by the author for TerraSwarm-only distribution, so electronic downloads are not available without logging in.

Citation formats

• HTML

  Baris Aksanli, Jagannathan Venkatesh, Christine Chan, Alper
  Sinan Akyurek, Tajana Simunic Rosing. <a
  href="http://www.terraswarm.org/pubs/951.html"
  >Context-Aware and User-Centric Residential Energy
  Management</a>, IEEE International Conference on
  Pervasive Computing and Communications, IEEE, 13, March,
  2017.

• Plain text

  Baris Aksanli, Jagannathan Venkatesh, Christine Chan, Alper
  Sinan Akyurek, Tajana Simunic Rosing. "Context-Aware
  and User-Centric Residential Energy Management". IEEE
  International Conference on Pervasive Computing and
  Communications, IEEE, 13, March, 2017.

• BibTeX

  @inproceedings{AksanliVenkateshChanAkyurekRosing17_ContextAwareUserCentricResidentialEnergyManagement,
      author = {Baris Aksanli and Jagannathan Venkatesh and
                Christine Chan and Alper Sinan Akyurek and Tajana
                Simunic Rosing},
      title = {Context-Aware and User-Centric Residential Energy
                Management},
      booktitle = {IEEE International Conference on Pervasive
                Computing and Communications},
      organization = {IEEE},
      day = {13},
      month = {March},
      year = {2017},
      abstract = {The Internet of Things (IoT) has brought increased
                sensing, monitoring and actuation capabilities to
                several domains including residential buildings.
                Residential energy management methods can leverage
                these capabilities and devise smarter solutions.
                This requires processing and reasoning data
                constantly generated by various IoT devices. In
                this paper, we use a hierarchical system model for
                IoT-based residential energy management, that
                includes a general purpose functional unit to
                drive data processing and reasoning. We apply this
                hierarchy to represent the electricity delivery
                structure from the utilities to individual
                residences. Our system captures additional data
                generated by various devices as user context and
                uses this context to determine user flexibility
                towards energy management. Our experiments show
                that modeling user context brings over 14%
                improvement in energy flexibility prediction
                accuracy and 12% reduction in annual grid energy
                cost. },
      URL = {http://terraswarm.org/pubs/951.html}
  }
  

Posted by Christine Chan on 17 May 2017.