Identification of Typical and Anomalous Patterns in Electricity Consumption
Nontechnical losses in electricity distribution networks are often associated with a countries’ socioeconomic situation. Although the amount of global losses is usually known, the separation between technical and commercial (nontechnical) losses will remain one of the main challenges for DSO until s...
Main Authors: | Fidalgo, J.N (Author), Macedo, P. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Detection of Electricity Theft Behavior Based on Improved Synthetic Minority Oversampling Technique and Random Forest Classifier
by: Zhengwei Qu, et al.
Published: (2020-04-01) -
Energy Theft Detection in Advanced Metering Infrastructure Based on Anomaly Pattern Detection
by: Cheong Hee Park, et al.
Published: (2020-07-01) -
Electricity Theft Detection in AMI Based on Clustering and Local Outlier Factor
by: Yanlin Peng, et al.
Published: (2021-01-01) -
Simulation in Neuroanesthesia: How Much to Learn?
by: Rashmi Bhatt, et al.
Published: (2018-06-01) -
Identification of Programs Based on the Behavior
by: M. V. Baklanovsky, et al.
Published: (2014-12-01)