Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

A robust multi-location evaluation of a machine learning framework for wind power forecasting

Fig 32

Training convergence showing how different algorithms minimize loss over epochs.

SVR with a linear kernel converges fastest with the lowest final loss, indicating superior learning efficiency.

Fig 32

doi: https://doi.org/10.1371/journal.pone.0344971.g032