This repository accompanies the blog post Making your own smart 'machine learning' thermostat using Arduino, AWS, HBase, Spark, Raspberry PI and XBee. This blog post describes building and programming your own smart thermostat.

This smart thermostat is based on three feedback loops.

• I. The first loop is based on an Arduino directly controlling the boiler. (this repostiory)
• II. The second feedback loop is a Raspberry PI that receives temperature data and boiler status information from the Arduino and sends instructions to the Arduino. Smart Thermostat - Raspberry PI Repository
• II. The third and last feedback loop is a server in the Cloud. This server uses machine learning to optimize the boiler control model that is running on the Raspberry PI. Smart Thermostat - AWS - HBase - Spark Repository

The hardware setup is described in detail in the blog post mentioned above.

The following Arduino libraries are required

• LiquidCrystal (LCD) - should be installed by default
• SoftwareSerial - should be installed by default
• XBee - Google code page

The Arduino sketch in the smarttherm subfolder of this repository can be uploaded to the Arduino as with any Arduino sketch.

The code used in this project is often based on wonderful and clearly written examples written by other people. I would especially like to thank the following people (alphabetical order).

• Aravindu Sandela - bigdatahandler - http://bigdatahandler.com
• Dave - Desert Home - http://www.desert-home.com
• Lady Ada - Adafruit - http://www.adafruit.com
• Lars George - HBase definitive guide - http://www.larsgeorge.com
• Luckily Seraph Chutium - ABC Networks Blog - http://www.abcn.net
• Michael Bouvy - http://michael.bouvy.net
• Paco Nathan - O'Reilly Media - http://iber118.com/pxn/
• Robert Faludi - Digi International - http://www.faludi.com
• Roger Binns - Another Python SQLite Wrapper - https://github.com/rogerbinns/apsw/
• Stephen Phillips - The University of Southampton, IT Innovation Centre - http://blog.scphillips.com