Using consumer behavior data to reduce energy consumption in smart homes: Applying machine learning to save energy without lowering comfort of inhabitants
%0 Conference Paper
%1 schweizer2015using
%A Schweizer, Daniel
%A Zehnder, Michael
%A Wache, Holger
%A Witschel, Hans-Friedrich
%A Zanatta, Danilo
%A Rodriguez, Miguel
%B International Conference on Machine Learning and Applications
%D 2015
%K citedby:scholar:count:5 citedby:scholar:timestamp:2017-4-20 diss energy inthesis mining pattern reduction sequential
%P 1123--1129
%T Using consumer behavior data to reduce energy consumption in smart homes: Applying machine learning to save energy without lowering comfort of inhabitants
@inproceedings{schweizer2015using,
added-at = {2017-04-20T17:05:47.000+0200},
author = {Schweizer, Daniel and Zehnder, Michael and Wache, Holger and Witschel, Hans-Friedrich and Zanatta, Danilo and Rodriguez, Miguel},
biburl = {https://www.bibsonomy.org/bibtex/2fb3f83c2f0e3da0fa2c08786be558c80/becker},
booktitle = {International Conference on Machine Learning and Applications},
interhash = {1702e14409f390a94363f5827cd45695},
intrahash = {fb3f83c2f0e3da0fa2c08786be558c80},
keywords = {citedby:scholar:count:5 citedby:scholar:timestamp:2017-4-20 diss energy inthesis mining pattern reduction sequential},
organization = {IEEE},
pages = {1123--1129},
timestamp = {2017-12-20T18:09:12.000+0100},
title = {Using consumer behavior data to reduce energy consumption in smart homes: Applying machine learning to save energy without lowering comfort of inhabitants},
year = 2015
}
