What are the limitations of machine learning in power system stability?

Machine learning has made remarkable predictions in power system stability. Nonetheless, it has limits, and these limitations might originate from a shortage of good data to use in training the algorithms, high costs to collect data, lack of interpretability of the results, uncertainties in system dynamics, and the reliability of ML models in domains beyond those used to train them. Moreover, the results implied by these methods can be affected by limitations in the datasets' quality and agreement on relevant dataset variables. The ML models' version of the power system stability analysis will require further enhancement, that its results are consistent and dependable.

This mind map was published on 2 June 2023 and has been viewed 152 times.