Energy Demand Prediction - Training

The goal is to train an AR model to predict the energy demand in the next hour based on the energy consumption in the previous N hours, for a specific group of customers.

- "Simple" means just raw data: no seasonality correction, stationarity assumption
- "auto-" means usage of past of the same time series for prediction. No other exogenous time series/data used.
- "Regressive" refers to the model: either a linear or a polynomial regression

Training: Simple auto-regressive model to predict a time series

Training set

Test set

Con Regressione Lineare

Con Regressione Polinomiale

Preparazione dei Dati