Bottom-up Demand Response by Following Local Energy Generation Voluntarily

Tobias Linnenberg, Alexander Fay, Michael Kaisers

AAAI 2015 pp. 4282-4283

doi:10.1609/AAAI.V29I1.9275 /aaai/2015/linnenberg2015aaai-bottom/

Abstract

We present an open-source low-budget hardware and software prototype of a smart plug, and the principles behind its capability to align power demand with a ref- erence signal, e.g. from local renewable energy genera- tion. We envision its use in conjunction with a platform that combines social-media and gamification elements with energy networks.

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Cite

Text

Linnenberg et al. "Bottom-up Demand Response by Following Local Energy Generation Voluntarily." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I1.9275

Markdown

[Linnenberg et al. "Bottom-up Demand Response by Following Local Energy Generation Voluntarily." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/linnenberg2015aaai-bottom/) doi:10.1609/AAAI.V29I1.9275

BibTeX

@inproceedings{linnenberg2015aaai-bottom,
  title     = {{Bottom-up Demand Response by Following Local Energy Generation Voluntarily}},
  author    = {Linnenberg, Tobias and Fay, Alexander and Kaisers, Michael},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {4282-4283},
  doi       = {10.1609/AAAI.V29I1.9275},
  url       = {https://mlanthology.org/aaai/2015/linnenberg2015aaai-bottom/}
}