HIGHLIGHTS
- who: Yiqi Lu and collaborators from the (UNIVERSITY) have published the article: The Application of Improved Random Forest Algorithm on the Prediction of Electric Vehicle Charging Load, in the Journal: (JOURNAL)
- what: The innovations of this paper are as follows: all the characteristic parameters needed to improve the accuracy of the prediction algorithm are proposed; the RF is applied in specific modality to realize the short-term prediction of the charging load; and_(3) the load prediction method of charging station group is proposed by combining the advantages of classification tree and regression tree. (2 . . .
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