Machine Learning Techniques and Smart Grid Applications: A Review

摘要

Machine learning tools are computations useful in data processing to find hidden patterns or the prediction of results. The objective of this document is to compare the most used techniques of machine learning, such as: Vector Machine Support, Descriptive Discriminant Analysis, Decision Trees and Neural Networks, in Smart Grid applications. To this end, an investigation is carried out in relevant publications of the current literature.