Predicting the energy consumption of energy appliances
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
We have a total of 5 classes.
After training, we are able to predict future energy use.