Citation
Jagannathan Venkatesh, Baris Aksanli, Tajana Simunic Rosing. "Residential Energy Simulation and Scheduling: A Case Study Approach". Proceedings of ISCC 2013, July, 2013.

Abstract
Residential energy contributes to 38% of the total energy consumption of the United States [1]. Current research aims to reduce consumption through time-of-use (TOU) pricing or by providing energy information to consumers. Industrial innovations are focused on energy efficiency and automated control of appliances. However, to date, quantifying the benefits of current and future technology improvements in residential energy management is difficult. This work presents HomeSim, a simulation platform aimed at residential energy modeling that can compare and quantify these results. The subsequent case studies leverage HomeSim to explore current and future technologies, including distributed batteries, renewable sources, smart appliances, cost-aware scheduling, and peak power reduction.

Electronic downloads

• http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6754939

• HTML

  Jagannathan Venkatesh, Baris Aksanli, Tajana Simunic Rosing.
  <a
  href="http://www.terraswarm.org/pubs/58.html"
  >Residential Energy Simulation and Scheduling: A Case
  Study Approach</a>, Proceedings of ISCC 2013, July,
  2013.

• Plain text

  Jagannathan Venkatesh, Baris Aksanli, Tajana Simunic Rosing.
  "Residential Energy Simulation and Scheduling: A Case
  Study Approach". Proceedings of ISCC 2013, July, 2013.

• BibTeX

  @inproceedings{VenkateshAksanliRosing13_ResidentialEnergySimulationSchedulingCaseStudyApproach,
      author = {Jagannathan Venkatesh and Baris Aksanli and Tajana
                Simunic Rosing},
      title = {Residential Energy Simulation and Scheduling: A
                Case Study Approach},
      booktitle = {Proceedings of ISCC 2013},
      month = {July},
      year = {2013},
      abstract = {Residential energy contributes to 38% of the total
                energy consumption of the United States [1].
                Current research aims to reduce consumption
                through time-of-use (TOU) pricing or by providing
                energy information to consumers. Industrial
                innovations are focused on energy efficiency and
                automated control of appliances. However, to date,
                quantifying the benefits of current and future
                technology improvements in residential energy
                management is difficult. This work presents
                HomeSim, a simulation platform aimed at
                residential energy modeling that can compare and
                quantify these results. The subsequent case
                studies leverage HomeSim to explore current and
                future technologies, including distributed
                batteries, renewable sources, smart appliances,
                cost-aware scheduling, and peak power reduction.},
      URL = {http://terraswarm.org/pubs/58.html}
  }
  

Posted by Mila MacBain on 6 May 2013.