Date of Award
Santa Clara: Santa Clara University, 2015.
The current thermostat marketplace is dominated by programmable thermostats that are engineered to give the user as much control as possible. However, not all users program these thermostats optimally. Some prefer comfort over energy efficiency and will heat an empty house. Others do not care to program their thermostat and leave it at a set temperature. The Smart Thermostat that we have created is engineered to optimize the temperature for the user, using the common sense of the engineer to lower energy consumption. It uses a Raspberry Pi as a platform to implement a fuzzy logic control System. By removing the extensive control of the thermostat from the user we are able to create a more energy efficient product that also maintains the comfort level of the occupants.
Allen, Matt; Billett, Sam; and Read, Kevin, "Smart thermostat" (2015). Electrical Engineering Senior Theses. 16.