Bottom-Up Demand Response by Following Local Energy Generation Voluntarily

被引：0
|
作者：
Linnenberg, Tobias [1 ]
Fay, Alexander [1 ]
Kaisers, Michael [2 ]
机构：
[1] Helmut Schmidt Univ, Hamburg, Germany
[2] Ctr Wiskunde & Informat, Amsterdam, Netherlands
来源：
PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2015年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 reference signal, e.g. from local renewable energy generation. We envision its use on a platform that combines social-media with energy networks, where users provide bottom-up demand response voluntarily.
引用
收藏
页码：4282 / 4283
页数：2
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