GLOBAL HORIZONTAL IRRADIANCE LSTM FORECAST MODEL
The University of Saskatchewan
Ph.D. in Interdisciplinary Studies
Created by: Carlos Enrique Diaz, MBM, P.Eng.
Email: carlos.diaz@usask.ca
Supervisor: Lori Bradford, Ph.D.
Email: lori.bradford@usask.ca
This workflow forecasts time series (irradiance) using an LSTM network with lagged values as input. The trained model is then used for out-of-sample forecasting. The predicted values are compared to the actual values, and the forecast's performance is reported via scoring metrics and a line plot in a dashboard. This workflow used GHI data from CWEEDS for Saskatoon and was adapted from the following KNIME workflow:
https://hub.knime.com/-/spaces/-/~Qo3OuYyVQV58k9cq/
The University of Saskatchewan
Ph.D. in Interdisciplinary Studies
Created by: Carlos Enrique Diaz, MBM, P.Eng.
Email: carlos.diaz@usask.ca
Supervisor: Lori Bradford, Ph.D.
Email: lori.bradford@usask.ca
This workflow forecasts time series (irradiance) using an LSTM network with lagged values as input. The trained model is then used for out-of-sample forecasting. The predicted values are compared to the actual values, and the forecast's performance is reported via scoring metrics and a line plot in a dashboard. This workflow used GHI data from CWEEDS for Saskatoon and was adapted from the following KNIME workflow:
https://hub.knime.com/-/spaces/-/~Qo3OuYyVQV58k9cq/