Intelligent light control |
| | Abstract | As a part of the upcoming Solar Decathlon project, it is a wish to have some sort of intelligent control of the lighting in the house, which is also more or less generic and requires as little pre-configuration and customization as possible.
The goal of this project has been to investigate and develop a system that solves this task.
The result is a setup, in which one can explore various Artificial Neural Network techniques for setting up a predictive model and then test it in an Intelligent House simulator developed at DTU.
The main purpose of this report is to document my work on this project, but it also serves as inspiration for further development. In this report, I will also attempt to give a very basic and simple introduction to the artificial neural network techniques which I have utilized for this project, with the target group being students at my own level.
The project was made in the autumn semester of 2013 from 14/10 to 13/01, at the DTU department of Informatics and Mathematical Modeling, under supervision of Christian D. Jensen.
The project is my nal project in information technology for the 'Diplom IT' study line at DTU. | | Type | Bachelor of Engineering thesis [Industrial collaboration] | | Year | 2014 | | Publisher | Technical University of Denmark, Department of Applied Mathematics and Computer Science | | Address | Richard Petersens Plads, Building 324, DK-2800 Kgs. Lyngby, Denmark, compute@compute.dtu.dk | | Series | DTU Compute B.Eng.-2014 | | Note | DTU supervisor: Christian D. Jensen, cdje@dtu.dk, DTU Compute | | Electronic version(s) | [pdf] | | Publication link | http://www.compute.dtu.dk/english | | BibTeX data | [bibtex] | | IMM Group(s) | Computer Science & Engineering |
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