Adding extra regressors to the model

[jamal-54]

I am trying to forecast load with this neuralprophet. with historical data, I want to add temperature as an input parameter to my forecasting features. Is it possible to implement that with this neuralprophet? If yes, can you suggest to me how to do that?

[ourownstory]

Hi @jamal-54
If temperature is a measurement (not known of the future), you can use a lagged-regressor
if it is a known forecast, you can use a simple future-regressor

[Msaleh87]

I tried these links, but they weren't working, I Googled the new links:
Modelling Lagged Regressors: https://neuralprophet.com/html/lagged-regressors.html

Modelling Future Regressors: https://neuralprophet.com/html/future-regressors.html?highlight=future%20regressor

[ourownstory]

Thank you @Msaleh87, I updated the links.

[Msaleh87]

@ourownstory
So I prepared my data as shown below:

This is my code, L12 is the dataset you see in the pic above:

L12M = L_prophet_5min_T[0:(12*30*24*12)] # the dataset show in the above pic
m = NeuralProphet(n_forecasts=(2*24*12),
    n_lags=(16*24*12),
    yearly_seasonality="auto",
    weekly_seasonality="auto",  
    daily_seasonality="auto",
    growth="off", seasonality_reg= 0.5, optimizer = 'AdamW',
    learning_rate = 0.1, n_changepoints="auto", changepoints_range = "auto",  batch_size = 16 ) 

m.add_country_holidays("US", mode="additive") 
m = m.add_future_regressor(name='A')
m = m.add_future_regressor(name='B')
m = m.add_future_regressor(name='C')
metrics = m.fit(L12M, freq="5min") 
m.highlight_nth_step_ahead_of_each_forecast(step_number=m.n_forecasts)

# the future values of A, B, and C
future_regressors_df = pd.DataFrame(data={'A': L_prophet_5min_T['A'][(12*30*24*12):(12*30*24*12)+576], 
                                          'B': L_prophet_5min_T['B'][(12*30*24*12):(12*30*24*12)+576],
                                          'C': L_prophet_5min_T['C'][(12*30*24*12):(12*30*24*12)+576]})

The model trains and saves fine, then when I try to forecast using this code, I get an error:

P_horizon = 576
future = m.make_future_dataframe(df = L12M, periods = P_horizon, n_historic_predictions=True) 
forecast1 = m.predict(df=future)

Should I add an argument for the future regressors inside the forecast?!