More Sensors
If possible, we can integrate more sensors to retain useful features we assumed to be constant in our predictive model hence improve its accuracy. With more sensors we can actually implement our system in a scalable fashion which will expand our system to a mini-scale sensor network and manage all the AC of a house.
Note that in our solutions, we assume that users' in the house are not equipped with smart devices such as fitbit and we designed our system to not depend on wearable smart devices (because we think it is generally possible that our user might not be a big fan of such devices). However, if we do consider such devices, we can amend some of our functions to be implemented in a cheaper and more straightforward way. Furthermore, with additional data generated by these devices, we might be able to develop new functions such as an accurate solution to learn users' movement habit in the house which might be potentially useful for our project
Note that in our solutions, we assume that users' in the house are not equipped with smart devices such as fitbit and we designed our system to not depend on wearable smart devices (because we think it is generally possible that our user might not be a big fan of such devices). However, if we do consider such devices, we can amend some of our functions to be implemented in a cheaper and more straightforward way. Furthermore, with additional data generated by these devices, we might be able to develop new functions such as an accurate solution to learn users' movement habit in the house which might be potentially useful for our project
More Interesting Services
Here are some interesting and useful services we plan to add to our system and smartphone application:
Feedback and Data Visualization
Our system can feedback daily AC electricity consumption and visualize the prediction of smart control in a week, give suggestions in energy consumption management
Demand Response
Algorithm to control AC based on demand response signals and real time electricity market price to save cost under permission of user
Feedback and Data Visualization
Our system can feedback daily AC electricity consumption and visualize the prediction of smart control in a week, give suggestions in energy consumption management
Demand Response
Algorithm to control AC based on demand response signals and real time electricity market price to save cost under permission of user