Gated Recurrent Neural Network for timeseries prediction
Timeseries prediction with a Gated RNN (LSTM)Project Assignment:
Train a gated recurrent neural network (LSTM) to predict energy expenditure (“Appliances” column) using two approaches:
- Predict the current energy expenditure given as input information the temperature (T_i) and humidity (RH_i) information from all the i sensors in the house.
- Setup a one step-ahead predictor for energy expenditure, i.e. given the current energy consumption, predict its next value.
Show and compare performance of both methods.
