Electricity Theft Detection in Power Grids with Deep Learning and Random Forests.
Shuan LiYinghua HanXu YaoSong YingchenJinkuan WangQiang ZhaoPublished in: J. Electr. Comput. Eng. (2019)
Keyphrases
- random forests
- deep learning
- power grids
- random forest
- power grid
- logistic regression
- ensemble methods
- decision trees
- wind power
- unsupervised learning
- machine learning algorithms
- machine learning
- object detection
- wind speed
- mental models
- weakly supervised
- prediction accuracy
- electric power
- long term
- electricity markets
- reinforcement learning
- computer vision
- feature selection
- short term
- neural network
- power system
- decision support system
- knowledge discovery