Detection of abnormal Electricity Consumption Behavior of Users Based on K-means Clustering Algorithm Fusion and Improved SVM.
Haibin HuangXiaolan XieYarong LiuPublished in: ICIIP (2022)
Keyphrases
- electricity consumption
- abnormal behavior
- support vector machine svm
- support vector
- feature selection
- end users
- anomaly detection
- user interface
- electric power
- knn
- multi class
- support vector machine
- recommender systems
- data fusion
- training data
- clustering algorithm
- social media
- k means
- fuzzy logic
- computational intelligence
- artificial neural networks
- training set
- energy consumption
- case study