Research Article
Electricity Theft Detection in Power Grids with Deep Learning and Random Forests
| Require: | | (1) Original training datasets | | | | (2) Test datasets | | for to do | | (1) Draw a bootstrap from the original training data | | (2) Grow an unpruned tree using data | | (a)Randomly select new feature set from original feature set | | (b)Select the best features from feature set based on Gini indicator on each node | | (c)Split until each tree grows to its maximum | | end for | | Ensure: | | (1) The collection of trees | | (2) For , the output of a decision tree is | | | | return |
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