[HTML][HTML] Electricity theft detection in smart grid systems: A CNN-LSTM based approach
Among an electricity provider's non-technical losses, electricity theft has the most severe and
dangerous effects. Fraudulent electricity consumption decreases the supply quality …
dangerous effects. Fraudulent electricity consumption decreases the supply quality …
Decision tree and SVM-based data analytics for theft detection in smart grid
Nontechnical losses, particularly due to electrical theft, have been a major concern in power
system industries for a long time. Large-scale consumption of electricity in a fraudulent …
system industries for a long time. Large-scale consumption of electricity in a fraudulent …
The challenge of non-technical loss detection using artificial intelligence: A survey
Detection of non-technical losses (NTL) which include electricity theft, faulty meters or billing
errors has attracted increasing attention from researchers in electrical engineering and …
errors has attracted increasing attention from researchers in electrical engineering and …
Detection and identification of abnormalities in customer consumptions in power distribution systems
This paper proposes a computational technique for the classification of electricity
consumption profiles. The methodology is comprised of two steps. In the first one, a C …
consumption profiles. The methodology is comprised of two steps. In the first one, a C …
AI Techniques in Detection of NTLs: A Comprehensive Review
In the operation of power grid, worldwide, non-technical losses (NTLs) occur in a massive
amount of proportion which is observed up to 40% of the total electric transmission and …
amount of proportion which is observed up to 40% of the total electric transmission and …
Non-technical loss identification by using data analytics and customer smart meters
The smart meters installed at the customer premises are one of the main apparatuses
promoting the modernization of the distribution systems. These devices collect a huge …
promoting the modernization of the distribution systems. These devices collect a huge …
[HTML][HTML] A hybrid model for anomalies detection in AMI system combining K-means clustering and deep neural network
Recently, the radical digital transformation has deeply affected the traditional electricity grid
and transformed it into an intelligent network (smart grid). This mutation is based on the …
and transformed it into an intelligent network (smart grid). This mutation is based on the …
Electricity theft detection methods and analysis using machine learning: overview
Losses are involved from generation to transmission and distribution (T&D) of electricity. The
score of these losses is rising in many countries severely. The main issue in electricity usage …
score of these losses is rising in many countries severely. The main issue in electricity usage …
Machine learning techniques for energy theft detection in AMI
Advanced Metering Infrastructure (AMI and smart meter) is considered as the basic building
block for the development of smart grid in the power distribution system. a Smart meter is …
block for the development of smart grid in the power distribution system. a Smart meter is …
Accurate detection of electricity theft using classification algorithms and Internet of Things in smart grid
Electricity theft is one of the most significant factors among non-technical losses. Because of
electricity theft, genuine users have to pay more, supply quality decreases, and generation …
electricity theft, genuine users have to pay more, supply quality decreases, and generation …