Energy prediction
Predicting the energy consumption of energy appliances
energy electricity appliance prediction smart home

We used a wireless sensor network, which measured:

  • the temperature in different rooms of the house
  • humidity in different rooms of the house
  • temperature outside
  • humidity outside
  • wind outside 

We know the electric consumption.

We transformed the data to fit a classification problem.

We grouped the samples by intervals of energy consumption. Each one being a class in the final dataset.

So for example, between 0 and 200Wh belongs to class 0, between 200 and 400 to class 1 etc.

We have a total of 5 classes.

After training, we are able to predict future energy use.

Results from deployment:
RAM used