I have Wireless Sensor Network setup in a classroom. I'm sensing data like temp, humidity, light, occupancy, etc. Classroom can accommodate 150 students and has 6 AC with light. From one side the classroom has big windows and that side is towards west and other 3 sides have thick walls and doors always closed. I have been looking for some questions that can be answered by analyzing data collected. Some of the questions I can think of are:
- Predicting optimum time to turn on AC before class starts so that class is attains required temp with least energy consumed.
- As of now I have 9 sensors on all walls and ceiling too. So to decide best position for sensor such that I can co-relate and predict other sensor values from only one or two sensor values.
- Decide optimum amount of light needed by occupants to be comfortable in classroom.
Please suggest to me more questions that can asked about this situation. Also suggest if I can use somehow machine learning in WSN I have deployed.